Adrian Mander

6.9k citations
115 papers · 4.3k indexed · 2 hit papers · h-index 31

Adrian Mander

110 papers receiving 4.2k citations

Hit Papers

Adaptive designs in clinical trials: why use them, and ho...4152015202620182022100200300400500

Peers

Adrian Mander
Comparison fields: 5 of 181
  • Statistics and Probability 792
  • Pharmacy 326
  • Nutrition and Dietetics 667
  • Hematology 410
  • Public Health, Environmental and Occupational Health 962
Replace Theodore Colton with:
Theodore Colton United States
Muin J. Khoury United States
James Troendle United States
James Rochon United States
David M. Reboussin United States
D G Altman United Kingdom
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David Jarjoura United States
Tim Friede Germany
Ian Douglas United Kingdom
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Citations per field
00.5×9.7×
Theodore Colton · 1×
Citations per year

Countries citing papers authored by Adrian Mander

Since Specialization
Citations

This map shows the geographic impact of Adrian Mander'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 Adrian Mander with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adrian Mander more than expected).

Fields of papers citing papers by Adrian Mander

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Adrian Mander. 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 Adrian Mander. The network helps show where Adrian Mander may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Adrian Mander, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Adrian Mander Line = papers co-authored together Adrian Mander links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20243
2 20243
3 20228
4 202115
5 20204
6 20209
7 20197
8 20193
9 20192
10 20197
11 201813
12
20182
13 201829
14 201212
15 201128
16
RADAR: Stata module to draw radar (spider) plots
20072
17
A prospective analysis of dietary fat, fibre and energy intake in relation to fatness in childhood.
20071
18
BATPLOT: Stata module to produce Bland-Altman plots accounting for trend
20055
19
SAMPSI_REG: Stata module to calculate the sample size/power for linear regression
20051
20
Update to hotdeck imputation
200015

About Adrian Mander

Adrian Mander is a scholar working on Statistics and Probability, Management Science and Operations Research and Statistics, Probability and Uncertainty, having authored 115 papers that have together received 4.3k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (51 papers), Optimal Experimental Design Methods (28 papers), Health Systems, Economic Evaluations, Quality of Life (16 papers), Meta-analysis and systematic reviews (13 papers), Obesity, Physical Activity, Diet (11 papers), Nutritional Studies and Diet (9 papers), Advanced Causal Inference Techniques (9 papers) and Cancer Genomics and Diagnostics (7 papers). The work is most often cited by research in Statistics and Probability (792 citations), Pharmacy (326 citations) and Nutrition and Dietetics (667 citations). Adrian Mander has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Susan A. Jebb, Lynne Stecher, James Wason, Jonathan J. Powell, Zoe Tolkien, Dora I. A. Pereira, Laura Johnson, Pauline Emmett, Mark D. Chatfield and Michael Sweeting. Their work appears in journals such as Trials, Pharmaceutical Statistics, Statistics in Medicine, BMJ Open and American Journal of Clinical Nutrition.

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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