Roderick Little

Roderick Little

University of Michigan

H-index: 89

North America-United States

About Roderick Little

Roderick Little, With an exceptional h-index of 89 and a recent h-index of 44 (since 2020), a distinguished researcher at University of Michigan, specializes in the field of Statistics, Biostatistics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Multiple imputation of more than one environmental exposure with nondifferential measurement error

Missing Data Analysis

Nonresponse Bias Analysis in Longitudinal Studies: A Comparative Review with an Application to the Early Childhood Longitudinal Study

Some Reflections on Rosenbaum and Rubin's Propensity Score Paper

A case study of nonresponse bias analysis in educational assessment surveys

Multiple imputation with massive data: An application to the panel study of income dynamics

A Note About the Definition of Response Propensity for Survey Nonresponse

A comparison of three popular methods for handling missing data: complete-case analysis, inverse probability weighting, and multiple imputation

Roderick Little Information

University

Position

Professor of Biostatistics and Statistics

Citations(all)

85330

Citations(since 2020)

26939

Cited By

68931

hIndex(all)

89

hIndex(since 2020)

44

i10Index(all)

228

i10Index(since 2020)

143

Email

University Profile Page

University of Michigan

Google Scholar

View Google Scholar Profile

Roderick Little Skills & Research Interests

Statistics

Biostatistics

Top articles of Roderick Little

Title

Journal

Author(s)

Publication Date

Multiple imputation of more than one environmental exposure with nondifferential measurement error

Biostatistics

Yuanzhi Yu

Roderick J Little

Matthew Perzanowski

Qixuan Chen

2023/5/25

Missing Data Analysis

Brenna Gomer

Ke-Hai Yuan

2023/1/1

Nonresponse Bias Analysis in Longitudinal Studies: A Comparative Review with an Application to the Early Childhood Longitudinal Study

International Statistical Review

Yajuan Si

Roderick Little

Ya Mo

Nell Sedransk

2024

Some Reflections on Rosenbaum and Rubin's Propensity Score Paper

Observational Studies

Roderick J Little

2023

A case study of nonresponse bias analysis in educational assessment surveys

Journal of Educational and Behavioral Statistics

Yajuan Si

Roderick J.A. Little

Ya Mo

Nell Sedransk

2021

Multiple imputation with massive data: An application to the panel study of income dynamics

Yajuan Si

Steve Heeringa

David Johnson

Roderick JA Little

Wenshuo Liu

...

2023/2/1

A Note About the Definition of Response Propensity for Survey Nonresponse

Roderick J Little

2022/9/1

A comparison of three popular methods for handling missing data: complete-case analysis, inverse probability weighting, and multiple imputation

Sociological Methods & Research

Roderick J Little

James R Carpenter

Katherine J Lee

2022/8/5

Addressing disparities in the propensity score distributions for treatment comparisons from observational studies

Stats

Tingting Zhou

Michael R Elliott

Roderick JA Little

2022/12/2

Bayes, buttressed by design-based ideas, is the best overarching paradigm for sample survey inference

Survey Methodology

Roderick J Little

2022/12/1

Likelihood‐based inference for the finite population mean with post‐stratification information under non‐ignorable non‐response

International Statistical Review

Sahar Z Zangeneh

Roderick J Little

2022/12

Accounting for survey design in Bayesian disaggregation of survey-based areal estimates of proportions: an application to the American Community Survey

The Annals of Applied Statistics

Marco H Benedetti

Veronica J Berrocal

Roderick J Little

2022/12

Missing data assumptions

Roderick J Little

2021/3/7

1376 Modern concepts in the handling and reporting of missing data

International Journal of Epidemiology

Katherine Lee

James Carpenter

Roderick Little

Cattram Nguyen

Rosie Cornish

2021/9/1

Spline Pattern-Mixture Models for Missing Data

Journal of Data Science

Ye Yang

Roderick JA Little

2021/1/1

Assessing selection bias in regression coefficients estimated from nonprobability samples with applications to genetics and demographic surveys

The annals of applied statistics

Brady T West

Roderick J Little

Rebecca R Andridge

Philip S Boonstra

Erin B Ware

...

2021/9

Oliceridine exhibits improved tolerability compared to morphine at equianalgesic conditions: Exploratory analysis from two phase 3 randomized placebo and active controlled trials

Pain and Therapy

Gregory B Hammer

Ashish K Khanna

Cathy Michalsky

Linda Wase

Mark A Demitrack

...

2021/12

Robust causal estimation from observational studies using penalized spline of propensity score for treatment comparison

Stats

Tingting Zhou

Michael R Elliott

Roderick JA Little

2021/6

Bayesian sensitivity analyses for longitudinal data with dropouts that are potentially missing not at random: A high dimensional pattern‐mixture model

Statistics in Medicine

Niko A Kaciroti

Roderick JA Little

2021/9/20

Framework for the treatment and reporting of missing data in observational studies: the treatment and reporting of missing data in observational studies framework

Journal of clinical epidemiology

Katherine J Lee

Kate M Tilling

Rosie P Cornish

Roderick JA Little

Melanie L Bell

...

2021/6/1

See List of Professors in Roderick Little University(University of Michigan)

Co-Authors

H-index: 334
Ronald C Kessler

Ronald C Kessler

Harvard University

H-index: 139
Donald B Rubin

Donald B Rubin

Temple University

H-index: 98
Jeremy Taylor

Jeremy Taylor

University of Michigan

H-index: 81
Kay Dickersin

Kay Dickersin

Johns Hopkins University

H-index: 77
Kenneth Lange

Kenneth Lange

University of California, Los Angeles

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