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INTRODUCTION TO BIOSTATISTICS FOR POPULATION HEALTH

BMI/POPHLTH 551
과목 설명

Designed for population health researcher. Topics include descriptive statistics, elementary probability, probability distributions, one- and two-sample normal inference (point estimation, hypothesis testing, confidence intervals), power and sample size calculations, one- and two-sample binomial inference, underlying assumptions and diagnostic work.

선수과목

Graduate/professional standing

충족 요건
학점

미보고

개설 시기

미보고

평점
3.86

8.66% 과거 데이터 대비

수료율
100%

1.96% 과거 데이터 대비

A 비율
71.43%

49.57% 과거 데이터 대비

학급 규모
14

-19.23% 과거 데이터 대비

Cumulative Grade Distribution

강사 (2026 Summr)

다음 사이트의 평점순으로 정렬 Rate My Professors

유사 과목

INTRODUCTION TO BIOSTATISTICS

BMI/STAT 541

Course designed for the biomedical researcher. Topics include: descriptive statistics, hypothesis testing, estimation, confidence intervals, t-tests, chi-squared tests, analysis of variance, linear regression, correlation, nonparametric tests, survival analysis and odds ratio. Biomedical applications used for each topic.

ADVANCED REGRESSION METHODS FOR POPULATION HEALTH

BMI/POPHLTH 651

Extension of regression analysis to observational data with unequal variance, unequal sampling and propensity weights, clusters and longitudinal measurements, using different variance structures, mixed linear models, generalized linear models and GEE. Matrix notation will be introduced and underlying mathematical and statistical principles will be explained. Examples use data sets from ongoing population health research.

REGRESSION METHODS FOR POPULATION HEALTH

BMI/POPHLTH 552

Introduction to the primary statistical tools used in epidemiology and health services research: logistic regression for binary outcomes, multiple linear regression for continuous outcomes, multinomial regression models for categorical outcomes, and Poisson and negative binomial regression models for count outcomes.

STATISTICAL METHODS FOR CLINICAL TRIALS

BMI/STAT 641

Statistical issues in the design of clinical trials, basic survival analysis, data collection and sequential monitoring.

INTRODUCTION TO CLINICAL TRIALS I

BMI/STAT 542

Intended for biomedical researchers interested in the design and analysis of clinical trials. Topics include definition of hypotheses, measures of effectiveness, sample size, randomization, data collection and monitoring, and issues in statistical analysis.