Unit 2 - Welcome to the Data Clinic Information Portal
Unit 2/8 Tyrone St, North Melbourne VIC 3051.
0422895837, +61390055073, email@example.com
I aim to perform activities that relieve society of suffering at an
individual or a community level. Those activities should be deeply
fulfilling to carry out and intellectually stimulating. Also I aim to
be in a field of discovery whereby I creatively play a role in
advancing the knowledge base with high clinical impact research.
• Speaking with a caring and sensitive attitude towards patients in a
therapeutic way to elicit a full history.
• Do a comprehensive physical examination of patients in a sensitive
• Good clinical knowledge in all fields of medicine at the intern level.
• Capable of doing procedures as required for the intern position.
• Participating in a multidisciplinary team by listening and contributing
and acting on decisions.
• Trial Design, Database Design, Interim Analyses, Final Analysis
• Extended Analyses Assumption Testing, Writing reports and
• Choosing and carrying out statistical methodology with validation.
• Coordinating and liaising with a team of clinicians, researchers and
• Data Manipulation, data cleaning, data validation over Microsoft
Access, Excel and Stata.
• Explaining statistical methodology and its validity and relevance to
scientists and clinicians.
• I have medical training so I have experience in all therapeutic areas,
but my project work has given me particular experience in cardiology,
oncology, neurosurgery, pharmacogenetics.
• Trained to comply with statistical standards as highlighted by the
Statistical Society of Australia Inc (SSAI) and have received GStat
(graduate statistician accreditation).
• Communication skills in liaising with various medical processional
and the teaching and mentoring of health professional in biostatistics.
• Using and understanding latest methodologies in fields of importance
such as repeated measures analysis in longitudinal methods and
recurrent event survival analysis, risk modeling (prognostic models
with and without intervention) in survival analysis.
• Completing projects according to schedule and managing multiple
MSWord; Advanced ACCESS; Intermediate, MS Windows; Advanced
Stata: Advanced SPSS Intermediate, SAS Intermediate,
Excel(Advanced), PowerPoint (Advanced); Web page design
The Queen Elizabeth Hospital
November 2003-2006 July (1year full time, remaining part-time)
On Call Junior Statistician/ Clinical Trial Analyst
• Design of database .
• Interim analysis and final analysis of 120 patient 60 variable dataset.
• Solving statistical issues within Cardiology department.
January 2003- December 2006
Medical Tutor for Aboriginal Students
• Medical tutor for 1 to 1 teaching for Aboriginal medical students.
January 2008 - Ongoing
• 1 to1 tutoring in biostatistics for health professionals.
Consulting in Biostatistics: Nov 2007 (Started consulting before but
here within I have done consulting under my own company Data
Projects Completed Organisation Size Analyses Used
Cardiology Department, 120 Patients Regression with model
Randomised Control trial on The Queen Elizabeth (Duration of trial selection, Repeated
effectiveness of ACE inhibitors Hospital Adelaide SA 2003 Nov – 2006 Measures Analysis
on platelet function Australia July) (Random Effects)
Cardiology Department, 13000 Regression with model
The Queen Elizabeth hospitalisations selection, Prediction
Extension of ACEi RCT onto Hospital Adelaide SA (2006 Mar – techniques, Recurrent
SOLVD dataset Australia 2006 July) event survival analysis.
Observational Study on Radiation Oncology, 209 patients 30 Logistic Regression,
squamous cell carcinoma of the Westmead Hospital, years (2007 Survival Analysis, Risk
lip Sydney NSW Australia Jul-2008 Jul) Modelling
Radiation Oncology, 40
Meta-analysis of various Westmead Hospital, Studies(2007Jul-
treatments on SCC Lip Sydney NSW Australia 2008 Jul) Meta-analysis
Model Selection via
Heart Failure hospitalizations Clinical Pharmacology, 1800 patients, Modelling, Recurrent
and mortality observational Royal Adelaide Hospital, 10 years(2008 Event Survival
study Adelaide SA Australia Jan – 2008 Jul) Analysis.
DEPM Royal Alfred
Meta-analysis on effectiveness of Hospital-Monash 6000 patients Dataset population
heart failure medication with University, Melbourne (2007 Sep – from summaries,
regards to renal failure VIC Australia 2008 July) logistic regression
Genes FX Health, (2008July – linear regression,
Pharmacogenetics of Azathioprin Melbourne VIC Australia 2009 Mar) logistic regression
80 patients repeated measures
Learning effect of Normal Dept. of Neurosurgery (2008-Aug— analysis with random
Pressure Hydrocephalus Patients Barcelona Spain 2009 July) effects
Validating risk scores for Dept. of
Alcoholic Hepatitis and Gastroenterology,
interaction with Hepatitis C on Western Hospital (2009 Mar – receiver operator
Patients using Australian data. Melbourne VIC Australia 2009 July) curves
Hyper oxygenation as a Regression with
treatment for Traumatic Brain Dept. of Neurosurgery (2009 Dec- measurement error and
Injury Barcelona Spain Ongoing) without constant.
Statistical supervision of AMS Dept. of Cardiac Surgery,
students in Pediatric Cardiac Royal Children's 2010 Jan - Logistic Regression,
Surgery Hospital, Melbourne Ongoing Survival Analysis
Tutoring to medical and allied All levels of
health professional in biostatistics were
Biostatistics (2007-Ongoing) taught.
Biostatistical Skills (Analyses Experienced in)
Analysis Classification Sub-classification Outcome
Simple tests z test/ t test Continuous
Score, wald, log likelihood test -
Simple Categorical Data
Analysis Odds Ratio Binary
Maentel Haenzel OR Binary
Relative Risk Binary
Risk Difference Binary
Linear Regression Simple or Univariate Lin Reg Continuous
Multiple Lin Reg Continuous
Summary results of
Logistic Regression Nominal Binary Outcomes
Summary of Series of
Binomial Binary Bernouli Trials
Poisson Regression Event Rate or Count Data
Log-Linear Regression Cell Frequency
Models Exponential Distribution Continuous
Summary of Series of
Negative Binomial Distribution Binary Bernouli Trials
Gamma Distribution Continuous
Analysis Random Effects (best one) Time Series
Meta-Analysis Fixed Effects Studies
Random Effects (not used) Studies
Inter-rater Agreement Continuous outcome Continuous
nominal outcome Binary
ordinal outcome Categories
Improvement Special Cause
CUSUM Chart Count
EWMA Chart Count
Single / Recurrent Event /
Competing Risk / Time varying
Survival Analysis Covariates Time to Event
Prognostic Risk Models Binary/Time to Event
1. Solana E, Poca MA, Sahuquillo J, Benejam B, Junque C, Dronavalli
M. Cognitive and motor improvement after retesting in normal-
pressure hydrocephalus: a real change or merely a learning effect? J
Neurosurg. 2009 May 29.
2. Sheffield LJ, Irving P, Gupta A, Byron K, Macrae FA, Phillimore H, et
al. Thiopurine methyltransferase and thiopurine metabolite testing in
patients with inflammatory bowel disease who are taking thiopurine
drugs. Pharmacogenomics. 2009;10(7):1091-9.
3. Dronavalli M, Gurrin L. Effect of cardiovascular biochemical markers
in predicting cardiac hospitalisation for patients with heart failure and
associated interaction with ACEi therapy. Heart, Lung and
Circulation. 2008; 17(Supplement 1):S14-S5.
4. Dronavalli M, Billah B, Krum H. Meta-analysis of effect of ACE
inhibitors and beta-blockers on mortality in CHF patients according to
renal function. Heart, Lung and Circulation. 2008;17(Supplement
All items can be seen on Google Scholar under Mithilesh Dronavalli.
1. Vacation Scholarship research presentation on baseline predictors of
platelet aggregation. Also presented at The Queen Elizabeth Hospital
2. MPhil midway presentation on the risk factors of lip cancer and treat-
ment outcome comparison between radiation oncology and surgery.
3. Presentation at the annual Statistical Society of Australia youth day
on integrating cardiovascular datasets.
Institution : Melbourne University
City/Country : Melbourne
Qualifications : Bachelor of Medical Science in July (Honours in
Result : First Class Honours 84% (H1)
Honours Project : Investigation of the mechanism of action of the
cardioprotective effect of ACE inhibitors. Two clinical trials were analysed in
a novel manner. One randomised control trial carried out in Adelaide was
the administration of ACE inhibitors for 3 months with the measurement of
key biochemical markers. Also baseline patient features were recorded. I
initially did baseline multiple linear regression models modelling the
biochemical markers with other features from patient history etc. I then did
repeated measures analysis to see if ACE inhibitors had an effect on the
The second trial was the large SOLVD dataset (13000 observations) which
had many of the variables at baseline as did the Adelaide trial. I developed
baseline prediction models containing variables common to both trials. I
used these models to predict the value of these markers in the larger trial
where they were not measured. The values were based on patient history
etc.. I then used this value in a recurrent event model looking at
cardiovascular hospital readmission. I found that the biomarkers were
clinically significant in predicting cardiovascular hospitalisation and that
ACE inhibitors worked more effectively in certain quartiles of these markers,
thus further elucidating the mechanism of action.
Completed : 2006 July
Institution : Adelaide University
City/Country : Adelaide
Qualifications : 3 years of MBBS, equivalent to Bachelor of Health
Sciences. 1 year of research Coursework Maths 1st year, Stats 1st year,
Logic 3rd Year, Macroeconomics 1st year, Foundations to Public Health
(Masters Subject), Biostatistics (Masters Subject)
Result: Top 15% of all University Graduates (Golden Key Honours
Institution : Monash University
City/Country : Melbourne
Qualifications : Completed Masters of Biostatistics (MBios) 3 Subjects
credited from previous work (Epidemiology, Data Management and
Completed Subject : Principles of Statistics Inference, Clinical
Biostatistics, Linear modelling and Regression, Probability Distribution
Theory, Categorical Data Analysis and Design of Experiments and
Randomised Control Trials, Survival Analysis, Work Placement Project.
Work Placement Project : A high impact investigation of the survival and
readmissions of heart failure patients in the last 10 years at the Royal
Adelaide Hospital. The predictors of readmission and survival were
investigated using multivariate survival analysis with recurrent event
(readmission), single event (death) and time varying covariates (changing
patient covariate values with each admission). Clinical risk models were
developed to classify patients into risk groups based on their baseline
features and readmission features for survival and readmission.
Bootstrapping methods were used to obtain comparative models (compared
to normal modelling) to determine the effect of over fitting the data. The
bootstrapped models were used as clinical risk models as they are a better
reflection of the general population.
Also a smaller project was carried out to identify the selective effectivity of
ACE inhibitors and Beta-Blockers depending on whether they were really
compromised or not in their treatment of heart failure. This was done via a
pooled meta-analysis (using individual patient data generated from data
summaries) of the relevant large randomised control trials. This has been
displayed in the Asia Pacific Chronic Heart Failure Conference APCHF Jan
Commencement : January 2007
Completed : July 2008
Institution : Inuom soft
City/Country : Hyderabad, India
Qualifications : Certified SAS course with following modules BASE SAS,
ADV. Programming, SAS GRAPH, SAS MACRO, STATS, OR, ETS, ETL, OLAP, EIS
Commenced : 2006 (40 Day course)
Institution : University of Sydney
City/Country : Sydney
Qualifications : Enrolled in Masters of Philosophy (MPhil)
Research on various treatment modalities of lip cancer and their
effectiveness in preventing relapse and improving survival using survival
analysis and also the other predictors of relapse and survival. A 27 year
longitudinal dataset (retrospective and prospective) with 208 patients and
50 clinical covariates are being analysed. Clinical risk score models were
constructed to classify patients into risk groups that identified their
likelihood of relapsing and surviving. Also a systematic review and meta-
analysis of lip cancer survival is being carried out looking at around 100
Commencement : July 2007
Expected Completion : July2010
Institution : University of Melbourne
City/Country : Melbourne
Qualifications : Completing a Bachelor of Medicine Bachelor of Surgery
enabling me for medical practice. A gap was taken halfway through to pursue
research in the form of Honours and MPhil and also Masters in Biostatistics where
all extra study had a major biostatistical and medical research focus.
Commencement : January 2002 (started in Adelaide University)
Expected Completion : December 2010
Ancillary Qualification : Basic Life Support Certification as required by
occupational health and safety (OH&S)
Training Centre : Royal Melbourne Hospital Clinical School.
Organization : Chess Club (President)
Time Period : 1996-2001
Description : From starting high school I took responsibility of the
chess club, including venue, food, transport and funding arrangements.
Organization : Fortian Political Forum (President)
Time Period : 1999-2001
Description : FPF discusses current political agenda in Australia and
around the world. FPF is not a politically aligned organisation but a forum
for discussion. I had to uphold the constitution of FPF and facilitate for free
discussion, including advertising the forum, booking venues and moderating
Organization : Sydney Telugu Association (Working Member)
Time Period : 1996-2001
Description : Gave my time and effort for the STA in order to setup
venues for celebrations. I also performed vocally and with harmonium and
was also the master of ceremonies.
Organization : Table Tennis Club (Secretary)
Time Period : 2002-2005
Description : was responsible for emailing a few hundred members of the
tournaments and meets held by the table tennis club. I was a part of
executive decision making for the club.
Psychiatry (favourite clinical rotation)
Even though I enjoyed all my clinical rotations, I particularly enjoyed
psychiatry. I am inspired how just by talking to patients for 1 hour you can
ease their suffering (even temporarily). I was new to the field and it caught
my interest so I downloaded the ICD10 bluebook, learned and summarized
all the important psychiatric diagnoses.
I made every effort to see as many patients as I could and did extra reading
into psychotherapy (my interest). One of my references is also a psychiatric
GStat (Graduate Statistician) from the Statistical Society of Australia inc (SSAI).
Accredited as of March 2009.
National Heart Foundation Vacation Scholarship
Florey Research Foundation Vacation Scholarship
The Queen Elizabeth Hospital Honours Scholarship
Masters Scholarship for work placement project
The Golden Key Honours Certificate
(top 15% of all graduates at Adelaide University)
English Telugu Hindi
Table Tennis, Badminton, Cricket, Soccer, Chess, Drama, Debating, Public
Speaking, Carnatic Music (Vocal and Keyboard), Consulting in Palmistry and
A link to my biostatistics consulting webpage:www.dataclinic.org
38 Bell Street,
Coburg, VIC 3058.
Dt: 20 / 03/10
To Whom it may Concern
It gives me great pleasure to attest to the character of Mithilesh Dronavalli. I
have known Mithilesh in a number of capacities for the last 4 years. He has
consulted me with regard to editing his M Phil thesis. He is also known to
me as his family and I have been closely associated through our mutual
interests over many years.
Mithilesh is a very hard working, competent and an excellent scholar. He
has an excellent rapport with people, especially with children with whom he
is a favourite. He volunteers his extensive knowledge and abilities in helping
Professionally, he is learned in diverse fields such as statistics and
medicine. He has the entrepreneurial ability to combine a variety of
disciplines including his hobbies, professional training and internet
technologies to original use.
He is well organised, disciplined and an original thinker and has the
courage to be a trail blazer in any chosen field of activity. He liaises well with
people and can harness diverse resources, both technological and human,
to achieve a goal.
In summary, I highly recommend Mithilesh for any position or endeavour
that he may seek to pursue. He will be an invaluable asset for any
If you have any questions, please do not hesitate to contact me.
Australian International Academy,
North Coburg, VIC 3058
Westmead Gentle Dental
Dr. Nancy Chu
16/24 Railway Pde
Westmead NSW 2145
To Whom It May Concern:
Re: Mr. Mithilesh Dronavalli
As a postgraduate dental student, I have asked for Mithilesh's help in
biostatistics and medical epidemiology. He is extremely knowledgeable and
detailed in this field, with a step-to- step guidance which helped me to learn the
subjects easily. He is dedicated to his student, and is always trying to find all
possible references for the biostatistics. In addition, he is extremely competent
with most of the statistics softwares including Microsoft Excel, and Stata.
I would highly recommend him as a biostatistics tutor and biostatistician in
general, and wish him well in the future.
BDS, Post Grad Dip Dent (Adel)
Further references available upon request.