Randomized trials are important for evaluating the effectiveness of new medical treatments compared to existing options. Key considerations in randomized trials include sample size, type I and type II errors, power, and internal and external validity. Sample size calculations require estimates of expected outcomes under different treatments and specifications of acceptable error rates and desired power. Randomization helps reduce bias but poses ethical issues that must be addressed through informed consent and oversight. Registration of all clinical trials helps reduce publication bias.
In clinical trials and other scientific studies, an interim analysis is an analysis of data that is conducted before data collection has been completed. If a treatment is particularly beneficial or harmful compared to the concurrent placebo group while the study is on-going, the investigators are ethically obliged to assess that difference using the data at hand and to make a deliberate consideration of terminating the study earlier than planned.
In interim analysis, whenever a new drug shows adverse effect on human being while testing the effectiveness of several drugs, we immediately stop the trial by taking into account the fact that maximum number of patients receive most effective treatment at the earliest stage. Interim analysis is also used to possibly reduce the expected number of patients and to shorten the follow-up time needed to make a conclusion. One wouldn't have to spend extra money if he/she already have enough evidence about the outcome. In this presentation, the total sample size is divided into four equal parts to perform the analysis and decision is made based on each individual step.
An epidemiological experiment in which subjects in a population are randomly allocated into groups, usually called study and control groups to receive and not receive an experimental preventive or therapetuic procedure, maneuver, or intervention .
In clinical trials and other scientific studies, an interim analysis is an analysis of data that is conducted before data collection has been completed. If a treatment is particularly beneficial or harmful compared to the concurrent placebo group while the study is on-going, the investigators are ethically obliged to assess that difference using the data at hand and to make a deliberate consideration of terminating the study earlier than planned.
In interim analysis, whenever a new drug shows adverse effect on human being while testing the effectiveness of several drugs, we immediately stop the trial by taking into account the fact that maximum number of patients receive most effective treatment at the earliest stage. Interim analysis is also used to possibly reduce the expected number of patients and to shorten the follow-up time needed to make a conclusion. One wouldn't have to spend extra money if he/she already have enough evidence about the outcome. In this presentation, the total sample size is divided into four equal parts to perform the analysis and decision is made based on each individual step.
An epidemiological experiment in which subjects in a population are randomly allocated into groups, usually called study and control groups to receive and not receive an experimental preventive or therapetuic procedure, maneuver, or intervention .
Biostatistics are widely used in clinical trials to collect and organize and describe and interpret these result and then give to us proves to take appropriate clinical decisions
Methods of randomisation in clinical trialsAmy Mehaboob
Randomization is the process by which allocation of subjects to treatment groups is done by chance, without the ability to predict who is in what group. A randomized clinical trial is a clinical trial in which participants are randomly assigned to separate groups that compare different treatments.
Randomized trials are gold standard of study designs because the potential for bias (selection into treatment groups) is avoided.
This document includes the purpose, types, advantages and disadvantages of each type of randomisation.
How to scientifically conduct a clinical professional research trial? In the current era of Collaborate or parish, we need to keep this design in our mind.
Enjoy
@copyLeft
Clinical study types and designs are terms which represent the way in which clinical trials are structured and formulated.
Since we all know that clinical research is an extremely complex topic and not everything can be explained in a simple way, here we’ll focus only on some of the most basic types of clinical study types and designs which involve human subjects or participants.
First of all, you should know that the most basic grouping of study designs is experimental (treatment) studies and observational studies.
As we can suppose from the names, in an observational study, researchers have less control over subjects and they’re just observing what happens to subjects, while in experimental studies, researchers are using different methods (such as randomization) to place subjects in separate groups. This gives experimental studies much more validity than observational studies.
In this guide, we’ll talk about the 2 possible types of studies, as well as different study designs within.
Randomized Control Trials
Enigma of Blinding Unraveled
Introduction
RCT
Steps in a RCT
Allocation Concealment
Bias in RCT
Phases in RCT
Types of RCT
Study Designs of RCT
Blinding
Methods of Blinding in different trials
Assessment of Blinding
Un-blinding
Current Scenario of Blinding
CONSORT
Conclusion
References
This presentation is aimed at presenting the issues associated with subgroup analyses in clinical trials: the different types of subgroup analyses and the statistical issues associated with the conduct of subgroup analyses.
CROSSOVER STUDY DESIGN, DESIGN OF PHARMACOKINETIC STUDIES, FACTORS INFLUENCING BIOAVAILABILITY STUDIES, STUDY DESIGN, PARALLEL DESIGN, CROSS-OVER STUDIES, LATIN SQUARE DESIN, TWO-PERIOD CROSSOVER STUDY DESIGN, BALANCED INCOMPLETE BLOCK DESIGN (BIBD), REPLICATE CROSSOVER STUDY DESIGN , DIFFERENCE BETWEEN PARALLEL AND CROSSOVER STUDY DESIGN.
Biostatistics are widely used in clinical trials to collect and organize and describe and interpret these result and then give to us proves to take appropriate clinical decisions
Methods of randomisation in clinical trialsAmy Mehaboob
Randomization is the process by which allocation of subjects to treatment groups is done by chance, without the ability to predict who is in what group. A randomized clinical trial is a clinical trial in which participants are randomly assigned to separate groups that compare different treatments.
Randomized trials are gold standard of study designs because the potential for bias (selection into treatment groups) is avoided.
This document includes the purpose, types, advantages and disadvantages of each type of randomisation.
How to scientifically conduct a clinical professional research trial? In the current era of Collaborate or parish, we need to keep this design in our mind.
Enjoy
@copyLeft
Clinical study types and designs are terms which represent the way in which clinical trials are structured and formulated.
Since we all know that clinical research is an extremely complex topic and not everything can be explained in a simple way, here we’ll focus only on some of the most basic types of clinical study types and designs which involve human subjects or participants.
First of all, you should know that the most basic grouping of study designs is experimental (treatment) studies and observational studies.
As we can suppose from the names, in an observational study, researchers have less control over subjects and they’re just observing what happens to subjects, while in experimental studies, researchers are using different methods (such as randomization) to place subjects in separate groups. This gives experimental studies much more validity than observational studies.
In this guide, we’ll talk about the 2 possible types of studies, as well as different study designs within.
Randomized Control Trials
Enigma of Blinding Unraveled
Introduction
RCT
Steps in a RCT
Allocation Concealment
Bias in RCT
Phases in RCT
Types of RCT
Study Designs of RCT
Blinding
Methods of Blinding in different trials
Assessment of Blinding
Un-blinding
Current Scenario of Blinding
CONSORT
Conclusion
References
This presentation is aimed at presenting the issues associated with subgroup analyses in clinical trials: the different types of subgroup analyses and the statistical issues associated with the conduct of subgroup analyses.
CROSSOVER STUDY DESIGN, DESIGN OF PHARMACOKINETIC STUDIES, FACTORS INFLUENCING BIOAVAILABILITY STUDIES, STUDY DESIGN, PARALLEL DESIGN, CROSS-OVER STUDIES, LATIN SQUARE DESIN, TWO-PERIOD CROSSOVER STUDY DESIGN, BALANCED INCOMPLETE BLOCK DESIGN (BIBD), REPLICATE CROSSOVER STUDY DESIGN , DIFFERENCE BETWEEN PARALLEL AND CROSSOVER STUDY DESIGN.
The randomised control trial (RCT) is a trial in which subjects are randomly assigned to one of two groups: one (the experimental group) receiving the intervention that is being tested, and the other (the comparison group or control) receiving an alternative (conventional) treatment
Chapter 2
Study Designs
Learning Objectives
• List and define the components of a good
study design
• Compare and contrast observational and
experimental study designs
• Summarize the advantages and disadvantages
of alternative study designs
Learning Objectives
• Describe the key features of a randomized
controlled trial
• Identify the study designs used in public health
and medical studies
Study Designs
• Observational Studies
– Case-series study
– Cross-sectional (prevalence) survey
– Case-control study
– Cohort study
• Experimental Studies
– Randomized Controlled (Clinical) Trial
Inferences
• Observational studies – inferences limited to descriptions
and associations; with carefully designed analysis can
make stronger inferences (statistical adjustment)
• Experimental studies – cause and effect
In ALL studies – need careful definition of disease
(outcome) and exposure (risk factor)
Which Design is Best
• Depends on the study question
• What is current knowledge on topic
• How common is disease (and risk factors)
• How long would study take, what are costs
• Ethical issues
Case Report/Case Series
• Observational study
• Case report: Detailed report of specific
features of case
• Case series: Systematic review of common
features of a small number of cases
• Advantage: Cost-efficient
• Disadvantages: No comparison group, no
specific research question
Case-Series
• Simplest design – description of interesting
observations in a small number of individuals
• Usually case-series do not involve control patients
(i.e., patients free of disease)
• Usually lead to generation of hypotheses for more
formal testing
• Criticisms: not planned – no research hypotheses
Case-Series
• Gottleib (1981) studied 5 young homosexual
men with rare form of pneumonia and other
unusual infections
• Initial report was followed by more series (26
cases in NY and CA; “cluster” in southern CA;
34 cases among Haitians, etc.)
• Condition termed AIDS in 1982
Cross-Sectional Survey
• Observational study conducted at a point in
time
• Advantages: Cost-efficient, easy to implement,
ethical
• Disadvantages: No temporal information, non-
response bias
Cross-Sectional Survey
• Is there an association between diabetes and
cardiovascular disease (CVD)?
Patients
with
Diabetes
Patients without
Diabetes
Patients with
CVD
Prospective Cohort Study
• Observational study involving a group (cohort)
of individuals who meet inclusion criteria
followed prospectively in time for risk factor
and outcome information
• Advantages: Can assess temporal relationships
• Disadvantages: Need large numbers for rare
outcomes, confounding
Cohort Study
• Is there an association between hypertension and
cardiovascular disease?
CVD
Hypertension
No CVD
Cohort
CVD
No Hypertension
No CVD
Study Start Time
Cohort Studies
• Identify a group of individuals that meet
inclusion crit ...
NEED FOR RESEARCH
Research is a systemic process of collecting and analyzing information to increase the understanding of the phenomenon under study.
It strengthens pharmacist-provided services, builds the evidence base for developing and commissioning new services, improves patient care and contributes to health service knowledge.
Phase I studies: Are done on healthy volunteers who agree to take the study drug to help the doctors determine how safe the drug is and if there are any side effects. Usually a small number of subjects (20-100) participate in Phase I studies. Approximately 70% of new drugs will pass this phase.
Phase II studies: Measure the effect of the new drug in patients with the disease or disorder to be treated. The main purpose is to determine safety and effectiveness of the new drug. Usually several hundred patients participate. These studies are usually “Double-blinded, randomized and controlled”.
Phase III studies: also use patients with the disorder to be treated by the new drug. These studies are done to gain a more thorough understanding of the effectiveness, benefits and side effects of the study drug.
NEED FOR DESIGN OF EXPERIMENTS
Design of experiments (DOE) is defined as a branch of applied statistics that deals with planning, conducting, analyzing, and interpreting controlled tests to evaluate the factors that control the value of a parameter or group of parameters.
DOE is a powerful data collection and analysis tool that can be used in a variety of experimental situations.
1. PRE-EXPERIMENTAL DESIGN
In pre-experimental research design, either a group or various dependent groups are observed for the effect of the application of an independent variable which is presumed to cause change.
It is the simplest form of experimental research design and is treated with no control group
2. TRUE EXPERIMENTAL DESIGN
The true experimental research design relies on statistical analysis to approve or disprove a hypothesis. It is the most accurate type of experimental design and may be carried out with or without a pretest on at least 2 randomly assigned dependent subjects.
The true experimental research design must contain a control group, a variable that can be manipulated by the researcher, and the distribution must be random.
3. QUASI EXPERIMENTAL DESIGN
The word "quasi" means partial, half, or pseudo. Therefore, the quasi-experimental research bearing a resemblance to the true experimental research, but not the same. In quasi-experiments, the participants are not randomly assigned, and as such, they are used in settings where randomization is difficult or impossible.
This is very common in educational research, where administrators are unwilling to allow the random selection of students for experimental samples.
PLAGIARISM
The word Plagiarism is derived from the Latin word Plagiarius, which means abducting, kidnapping, seducing, or plundering.
Randomized control trial is so called because the patients who constitute the unit of study are allocated into ‘study group’ and ‘control group’ at random depending upon whether they receive or do not receive the intervention.
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1. Randomized Trials:
Some Further Issues
Dr. Win Aye Hlaing
Lecturer
Department of Epidemiology
University of Public Health, Yangon
2. • Sample Size
• Type I Error
• Type II Error
• Power
• External Validity (Generalizability)
• Internal Validity
3. Sample Size
• two jars of beads, each containing 100
• some white and some blue
• jars are opaque
• cannot see the colors
4.
5. • 10 from A – 9 B & 1 W
• 10 from B – 2 B & 8 W
• Can we conclude that 90% of the beads in jar
(A) are blue and 10% are white?
• Clearly, we cannot
• by chance
6.
7. • 10 from A – 7 B & 3 W
• 10 from B – 7 B & 3 W
• It clearly could concluded color distribution be
the same
• We are looking at samples and trying to draw a
conclusion regarding a whole universe
• We want to draw a conclusion from the study
results that goes beyond the study population—is
• treatment (A) more effective than treatment (B)
8.
9.
10.
11.
12.
13.
14. • 2 × 2 table
• Two columns —therapy A differs from therapy
B, or
• therapy A does not differ from therapy B
• Two rows - our decision to conclude
• four possibilities – a,b,c,d
15. • Not differ (-) --- differ (+) ----Type I Error (α)(c)
• differ (+) --- not differ (-) ----Type II Error (β)(b)
• α = p value (probability)
• α ‹ 0.05
• Therapy differ (+) - (2) groups-----probability = 1
• b cell = β
• d cell = 1-β = Power
16.
17. Estimate the Sample Size
1. must specify the expected difference in response rate
• existing therapy cures- 40%
• expect new therapy cure-50%, 60%
• expect 10% or 20% better than current therapy
• A new therapy
– no prior experience
– to search data in human populations
– To search data from animal studies
– No way of producing such an estimate
– Can make a guess [estimate] --- bracket the estimate
18. 2. must have an estimate of the response rate
• E.g. current cure rate is 40%.
20. 4. must specify the power (1-β)
• (TP)Power increase=FN decrease=FP decrease
• (1-β) increase = β decrease = α decrease
21. 5. must specify the test - one-sided or two-
sided
• Current T/m — cure rate — 40%
• New therapy—cure rate—50% or 60%
22. • one-sided test
– Cure rate – difference between (2) T/m
– Cure rate in New? --- better
• two-sided test
– Cure rate – difference between (2) T/m
– Cure rate in New? --- better or worse
23. • not only for a difference that is better than the
current cure rate
• but also for one that is worse than the current
rate
24. • One-sided test
– Require smaller sample sizes
– Attractive
– E.g. Disease – 100% fatal
• Only be the direction of improvement
• One-sided test
25. Gehan Table (Sample Size Table)
• Lower of the two cure rates=higher and lower
Choose lower one
– E.g. Lower = 40%
– Higher = 60%
– Choose lower one --- 40% = 0.4
27. • Choose the intesect row of 0.4 & column of
0.2
97
• We need 97 subjects in each of our study
groups (Sample Size)
28.
29. Alternative
• If the sample size is too small
– Decide not to do the study (or)
– Decide to extend the study (or)
– Decide to collaborate with investigators at other
Institutions to increase the total no.of subjects
– Test -- single site (bias – difficult to detect)
-- multicentre (bias – readily to detect)
– Sample size – Use – in RCT, Cohort, Case-Control
30. Recruitment and Retension of Study
Participants
• A major challenge in RCT - to recruit the
sufficient no. of eligible and willing volunteers
• Failure to recruit – trial without sufficient no.
of volunteers to yield statistically valid results
31. • Trials may be significantly delayed – by limited
recruitment and costs of completing such
trials may be increased
• High level of vigilance is needed
– No coercion, either overt or convert
– By study investigators consciously or
subconsciously
– To enroll the subjects (Bias)
32. • Participants must be fully informed of the risks
& what arrange/m have been made
• If untoward effects occur (Consent)
33. • Appropriate arrangements - cover participants’
expenses such as transportation,
accommodations, etc.
payment of cash incentives to prospective
volunteers
will risk or overt coercion
biases and distortion may occur, if large
incentives (+)
34. • conducting RCT is that we do not know which therapy
is better
Losses to follow-up and other forms of noncompliance
major concern
Participants may lose interest in the study over time
drop out of studies
appropriate measures to prevent losses to follow-up
36. I. Reduction in Risk (Efficacy)
• can be expressed as rates of developing disease in the
vaccine and placebo groups
• Showed the extent of the reduction in disease by use
of the vaccine
• Risks are calculated per person-years of observation
• Effectiveness
– ideal conditions ≠ real-life situations
• evaluate efficacy of a treatment
– Efficacious
– Effective
37.
38. II. Ratios of Risk (Relative Risk)
• A major objective of RCT - to have an impact
on the way clinical medicine and public health
39. III. NNT
• to estimate the number of patients who
would need to be treated (NNT)
• to prevent one adverse outcome such as one
death
– E.g. Mortality in Untreated = 17%
– Mortality in treated = 12%
– NNT = 1/17-12% = 1/5% = 1/0.05 = 20
40.
41. • used in studies of various interventions
including both treatment and prevention
43. Intrepreting the Results of RCT
• Ultimate objective - to generalize the results
beyond the study population itself
• Evaluate the New Drug
• Defined pop is from Total pop
45. External Validity (Generalizability)
• The results in the study pop can be applied to
broader pop
• Study pop is representative of Defined pop
• Patients included in study – generalized the result
– applied the patients not included in study
• Generalize the results – not only just to all
patients with disease in community – but also
total pop of patients with disease
• Defined pop is representative of Total pop
47. Internal Validity
• A RCT is internally valid:
– if the randomization has been done and
– the study is free of other biases
– and is without any of the major methodologic
problems
48. Limiting Factors
1. Most RCT do not provide the information
2. Droup outs from trials – should be kept to
minimum
• RCT are usually not representative of General
pop (external validity)
49. Comparative Effectiveness Research
(CER)
• Some randomized trials - to compare a new
therapy to a placebo
• Other randomized trials – to compare a new
treatment with an older accepted treatment
• two or more existing interventions are
compared - to determine which intervention
would work best in a given population or for a
given patient
50. • Another issue - costs of interventions
• E.g. many treatments of HIV infections are
very expensive - affordable in developed
countries - but not affordable in many
developing countries
• Newer and cheaper medications - to
determine the new, cheaper alternatives are
as effective as the more expensive
interventions --- “Equivalence Studies”
51. Four Phases in Testing New Drugs in
USA
• Phase I Trial
– Clinical studies
– Small – 20-80 subjects
– Effects are examined, including safety and side
effects
– Go --- Phase II
52. • Phase II Trial
– Clinical
– 100-300 subjects
– Evaluate the efficacy
– Further assess its relative safety
– Go --- Phase III
53. • Phase III Trial
– Large scale RCT
– For effectiveness and relative safety
– 1000-3000 or more subjects
– Very difficult
– More than one study center-Multicenter trial
– can be approved and licensed for marketing
54. • Phase IV Trial
– Certain adverse effects of drugs
– May not become manifest for many years
– May not be detectable
– Become evident only when use by large pop after
marketing
– Post-marketing Surveillance
– Are important for monitoring new agents-general
use by the public
55. • Phase IV are not Randomized studies
• Ascertain side effects of new t/m after the
drug is being market
• A very high quality system for reporting of
adverse effects is essential
• Very valuable in providing additional evidence
on benefits and help optimize the use of the
new agent
56. • The multicenter Hypertension Detection and
Follow-up Program (HDFP) study
• benefits of treating mild to moderate
hypertension
• 22,994 subjects who were eligible because
they had elevated diastolic blood pressure
• 10,940 were randomized to the stepped care
or to the referred care group
58. The Hypertension Detection and
Follow-up Program
• Stepped Care - according to a precisely defined
protocol, under which treatment was changed
when a specified decrease in blood pressure
• Referred care - a group receiving no care for
hypertension
• known hypertensive subjects
• the investigators believed that ethically
unjustifiable
• referred back to their own physicians
59. • the patients in the stepped care group had
lower mortality than those in the referred care
group
• untreated group for comparison
• patients referred back to their own physicians
• but there was no monitoring of the care by
their physicians
60.
61. REGISTRATION OF CLINICAL TRIALS
• beneficial results have been published
• showing negative results (for some reason)
have not been published
• Publication Bias (or) Non-Publication Bias
62. • more eager to publish results from studies
showing dramatic effects than
• results from studies showing no benefit from a
new drug
• Both researchers and journals - excited about
studies - a new treatment is inferior to current
treatment or that the findings are not clear
one way or the other
63. • adopt a policy
• all clinical trials of medical interventions must be
registered in a public trials registry before any
participants are enrolled in the study
• Medical include drugs, surgical procedures,
devices, behavioural treatments, and processes
of health care
• at no charge
• Before publication
64. ETHICAL CONSIDERATIONS
1. Randomization is ethical?
– Randomization is ethical only when we do not know
whether drug A is better than drug B
– it is ethical to use a placebo
2. Is it ethical not to randomize?
3. Truly informed consent can be obtained?
– Whether they are capable of giving truly informed
consent
4. Under what circumstances should a trial be
stopped earlier than originally planned?
– harmful effects or beneficial effects of the agent
become apparent early
65. CONCLUSION
• the gold standard
• for evaluating the efficacy of therapeutic,
preventive, and other measures
• in both clinical medicine and public health