David C. Hoaglin

21.5k total citations · 11 hit papers
165 papers, 15.5k citations indexed

About

David C. Hoaglin is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Economics and Econometrics. According to data from OpenAlex, David C. Hoaglin has authored 165 papers receiving a total of 15.5k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Statistics and Probability, 26 papers in Statistics, Probability and Uncertainty and 17 papers in Economics and Econometrics. Recurrent topics in David C. Hoaglin's work include Statistical Methods in Clinical Trials (21 papers), Meta-analysis and systematic reviews (20 papers) and Advanced Statistical Methods and Models (19 papers). David C. Hoaglin is often cited by papers focused on Statistical Methods in Clinical Trials (21 papers), Meta-analysis and systematic reviews (20 papers) and Advanced Statistical Methods and Models (19 papers). David C. Hoaglin collaborates with scholars based in United States, United Kingdom and Canada. David C. Hoaglin's co-authors include John W. Tukey, Frederick Mosteller, Boris Iglewicz, Roy E. Welsch, Catherine S. Berkey, D. Collett, Graham A. Colditz, Gordon J. Ross, Peter W. Jones and Jarrett Rosenberg and has published in prestigious journals such as JAMA, Circulation and Journal of Clinical Investigation.

In The Last Decade

David C. Hoaglin

159 papers receiving 14.4k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Understanding robust and exploratory data analysis

1983 1.5k citations David C. Hoaglin, Frederick Mosteller et al. profile →
Preliminary guidelines for empirical research in software engineering

2002 1.0k citations David C. Hoaglin et al. profile →
Understanding Robust and Exploratory Data Analysis.

1984 899 citations David C. Hoaglin, Frederick Mosteller et al. profile →
Fine-Tuning Some Resistant Rules for Outlier Labeling

1987 880 citations David C. Hoaglin, Boris Iglewicz Journal of the American Statistical Association profile →
A random‐effects regression model for meta‐analysis

1995 684 citations David C. Hoaglin, Frederick Mosteller et al. Statistics in Medicine profile →
Applications, Basics and Computing of Exploratory Data Analysis.

1983 629 citations David C. Hoaglin et al. profile →
Conducting Indirect-Treatment-Comparison and Network-Meta-Analysis Studies: Report of the ISPOR Task Force on Indirect Treatment Comparisons Good Research Practices: Part 2

2011 604 citations David C. Hoaglin et al. profile →
The Hat Matrix in Regression and ANOVA

1978 558 citations David C. Hoaglin, Roy E. Welsch The American Statistician profile →
How to Detect and Handle Outliers

1994 555 citations Boris Iglewicz, David C. Hoaglin et al. profile →
Performance of Some Resistant Rules for Outlier Labeling

1986 531 citations David C. Hoaglin, Boris Iglewicz et al. Journal of the American Statistical Association profile →
Exploring Data Tables, Trends and Shapes.

1986 429 citations David C. Hoaglin, Frederick Mosteller et al. profile →

Peers

Countries citing papers authored by David C. Hoaglin

Since Specialization

Citations

This map shows the geographic impact of David C. Hoaglin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by David C. Hoaglin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David C. Hoaglin more than expected).

Fields of papers citing papers by David C. Hoaglin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David C. Hoaglin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by David C. Hoaglin. The network helps show where David C. Hoaglin may publish in the future.

Co-authorship network of co-authors of David C. Hoaglin

This figure shows the co-authorship network connecting the top 25 collaborators of David C. Hoaglin. A scholar is included among the top collaborators of David C. Hoaglin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David C. Hoaglin. David C. Hoaglin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	On the Q statistic with constant weights in meta-analysis of binary outcomes 2023 ·BMC Medical Research Methodology ·Elena Kulinskaya, David C. Hoaglin	3
2	The stratified win statistics (win ratio, win odds, and net benefit) 2023 ·Pharmaceutical Statistics ·Gaohong Dong, David C. Hoaglin, Bo Huang, Ying Cui, Duolao Wang, (unknown), Margaret Gamalo	11
3	Estimation of heterogeneity variance based on a generalized Q statistic in meta‐analysis of log‐odds‐ratio 2023 ·Research Synthesis Methods ·Elena Kulinskaya, David C. Hoaglin	2
4	Evaluating the Clinical Utility of Epstein-Barr Virus Antibodies as Biomarkers in Multiple Sclerosis: A Systematic Review 2023 ·Multiple Sclerosis and Related Disorders ·(unknown), Farnaz Khalighinejad, David C. Hoaglin, Christopher C. Hemond	6
5	On the Q statistic with constant weights for standardized mean difference 2022 ·British Journal of Mathematical and Statistical Psychology ·Ilyas Bakbergenuly, David C. Hoaglin, Elena Kulinskaya	8
6	Win statistics (win ratio, win odds, and net benefit) can complement one another to show the strength of the treatment effect on time‐to‐event outcomes 2022 ·Pharmaceutical Statistics ·Gaohong Dong, Bo Huang, Johan Verbeeck, Ying Cui, James Song, Margaret Gamalo, Duolao Wang, David C. Hoaglin, Yodit Seifu, (unknown), John E. Kolassa	30
7	The win odds: statistical inference and regression 2022 ·Journal of Biopharmaceutical Statistics ·James Song, Johan Verbeeck, Bo Huang, David C. Hoaglin, Margaret Gamalo, Yodit Seifu, Duolao Wang, (unknown), Gaohong Dong	11
8	A Q statistic with constant weights for assessing heterogeneity in meta‐analysis 2021 ·Research Synthesis Methods ·Elena Kulinskaya, David C. Hoaglin, Ilyas Bakbergenuly, Joseph W. Newman	8
9	Adjusting win statistics for dependent censoring 2020 ·Pharmaceutical Statistics ·Gaohong Dong, Bo Huang, Duolao Wang, Johan Verbeeck, Jiuzhou Wang, David C. Hoaglin	23
10	The inverse-probability-of-censoring weighting (IPCW) adjusted win ratio statistic: an unbiased estimator in the presence of independent censoring 2020 ·Journal of Biopharmaceutical Statistics ·Gaohong Dong, Lu Mao, Bo Huang, Margaret Gamalo, Jiuzhou Wang, Guanglei Yu, David C. Hoaglin	43
11	Methods for estimating between‐study variance and overall effect in meta‐analysis of odds ratios 2020 ·Research Synthesis Methods ·Ilyas Bakbergenuly, David C. Hoaglin, Elena Kulinskaya	45
12	Pitfalls of using the risk ratio in meta‐analysis 2019 ·Research Synthesis Methods ·Ilyas Bakbergenuly, David C. Hoaglin, Elena Kulinskaya	44
13	The win ratio: Impact of censoring and follow‐up time and use with nonproportional hazards 2019 ·Pharmaceutical Statistics ·Gaohong Dong, Bo Huang, Yu‐Wei Chang, Yodit Seifu, James Song, David C. Hoaglin	21
14	Estimation in meta‐analyses of mean difference and standardized mean difference 2019 ·Statistics in Medicine ·Ilyas Bakbergenuly, David C. Hoaglin, Elena Kulinskaya	33
15	Selected Papers of Frederick Mosteller 2006 ·Springer series in statistics ·Stephen E. Fienberg, David C. Hoaglin, (unknown)	8
16	Exploring Data Tables, Trends, and Shapes (Wiley Series in Probability and Statistics) 2006 ·Wiley-Interscience eBooks ·David C. Hoaglin, Frederick Mosteller, John W. Tukey	8
17	A Statistical Model 1990 ·Springer series in statistics ·Stephen E. Fienberg, David C. Hoaglin, William Kruskal, Judith M. Tanur	33
18	Fine-Tuning Some Resistant Rules for Outlier Labeling breakdown → 1987 ·Journal of the American Statistical Association ·David C. Hoaglin, Boris Iglewicz	880
19	Leverage in Least Squares Additive-Plus-Multiplicative Fits for Two-Way Tables 1984 ·Journal of the American Statistical Association ·John D. Emerson, David C. Hoaglin, (unknown)	20
20	The Hat Matrix in Regression and ANOVA breakdown → 1978 ·The American Statistician ·David C. Hoaglin, Roy E. Welsch	558

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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