Teaching

@UVM

2020-2021

-- STAT 211 (Fall)

--STAT 229 (Spring)


@Mcgill

2019-2020

-- Analysis of Correlated Data (EPIB 627) (Fall)

-- BIOS 602 (Winter)

2018-2019

-- Prediction modeling (Winter)

-- Analysis of Correlated Data (EPIB 627) (Fall)

-- Short courses in Biostatistics and Epidemiology for Occupational Health Training Program (Summer) Information from past year

-- Invited workshop on p-hacking, Integrated Program in Neurology (IPN)

2017-2018

-- Analysis of Correlated Data (EPIB 627) (Winter)

-- Inferential Statistics (EPIB 607) (Fall) -- Inferential Statistics (EPIB 607) (Fall)

-- Short course in Biostatistics for Occupational Health Training Program (Summer) Information from past year

2016-2017

-- Analysis of Correlated Data (EPIB 627) (Winter) Course outline

-- Inferential Statistics (EPIB 607) (Fall)

2015-2016

-- Inferential Statistics (EPIB 607) (Fall) Course outline

2014-2015

-- Inferential Statistics (EPIB 607) (Fall)

-- Biostatistics for Health Professionals (EPIB 507) (Fall)


@Duke

-- Analysis of correlated data (2013, 2014)


Short courses

-- @NIEHS -- Biostatistics - II: Testing statistical hypotheses (2010)

-- @JSM -- Statistical Evaluation of Prognostic Biomarkers (2013)


-- Analysis of correlated data (2013, 2014)

Short courses

-- @NIEHS -- Biostatistics - II: Testing statistical hypotheses (2010)

-- @JSM -- Statistical Evaluation of Prognostic Biomarkers (2013)

EPIB 607: Inferential Statistics (Fall, 2017)

Course outline

Course notes, etc will be accessible via: https://mycourses2.mcgill.ca/

Registration Dates: check with Students' Services Office

Scheduled Meeting Times: Tu 10:35-12:25; F 12:35-2:2512:35 PM - 2:25 PM (Tuesdays and Thursdays) at Purvis Hall 25

Date range: Sep 01, 2017 - Dec 05, 2017

Location: T McMed 210/11; F Trottier 1100

Instructor: Paramita Saha Chaudhuri (PSC)

Office hours (PSC): TBD

Teaching Assistant: TBD

Course content: Introduction to the basic principles of statistical inference used in clinical and epidemiologic research. Topics include: variability; methods of processing and describing data; sampling and sampling distributions; inferences regarding means and proportions, non-parametric methods, correlation and regression.

Prerequisite (Undergraduate): A first year course in undergraduate differential and integral calculus.

EPIB 507: Biostatistics for Health Professionals (Fall, 2014)

Scheduled Meeting Times: 2:35 PM - 3:55 PM (Mondays and Wednesdays) at Purvis Hall 25

Date range: Sep 03, 2014 - Dec 03, 2014

Instructor: Paramita Saha Chaudhuri (PSC)

Office hours (PSC): 2:30 - 3:50 (Tuesdays) by appointment at Purvis Hall 49A (I will post a sign-up sheet on my door)

Teaching Assistant: TBD

Course content: Basic principles of statistical inference applicable to clinical, epidemiologic, and other health research. Topics include: methods of describing data, statistical inference for means, statistical inference for proportions, correlation and introduction to linear regression.

Prerequisite: Permission of instructor

Restriction: Restricted to students registered in Occupational Health, Dentistry, Rehabilitation Sciences, Human Nutrition, Experimental Medicine-Family Medicine Option, Medical Residents, and Clinical Fellows.

BIOSTAT 718: Analysis of Correlated and Longitudinal Data (Spring, 2014)

Topics include linear and nonlinear mixed models; generalized estimating equations; subject specific versus population average interpretation; missing data.

Prerequisite(s): BIOSTAT 201, BIOSTAT 202, BIOSTAT 204, and BIOSTAT 205, or permission of the Director of Graduate Studies

Credits: 2

Required Textbook: Applied Longitudinal Analysis, 2nd Edition by Garrett Fitzmaurice, Nan Laird & James Ware

Instructor: Paramita Saha Chaudhuri

Website in Sakai

Resources:

1. How to guide for research

2. Book website for FLW (the datasets for examples and exercise; sample codes, lecture notes)