Pair‐Feeding Study Designs Can Create Biases and Inflate Type I Error Rates: A Simulation Study
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Wiley
2025
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| author | Wasiuddin Najam Daniel E. Kpormegbey Deependra K. Thapa Bret Rust Lilian Golzarri‐Arroyo Lance H. Baumgard Louis Wai‐Tong Fan Joseph G. Ibrahim Edith J. Mayorga David B. Allison |
| author_facet | Wasiuddin Najam Daniel E. Kpormegbey Deependra K. Thapa Bret Rust Lilian Golzarri‐Arroyo Lance H. Baumgard Louis Wai‐Tong Fan Joseph G. Ibrahim Edith J. Mayorga David B. Allison Wasiuddin Najam Daniel E. Kpormegbey Deependra K. Thapa Bret Rust Lilian Golzarri‐Arroyo Lance H. Baumgard Louis Wai‐Tong Fan Joseph G. Ibrahim Edith J. Mayorga David B. Allison |
| collection | Wiley Open Access |
| contents | Pair‐Feeding Study Designs Can Create Biases and Inflate Type I Error Rates: A Simulation Study Wasiuddin Najam Daniel E. Kpormegbey Deependra K. Thapa Bret Rust Lilian Golzarri‐Arroyo Lance H. Baumgard Louis Wai‐Tong Fan Joseph G. Ibrahim Edith J. Mayorga David B. Allison Obesity ABSTRACT Objective Pair‐feeding is a study design element where one group's food intake is provided to another group to assess whether a treatment effect is independent of food intake. Investigators often assume equivalent food intake across experimental conditions and exclude it from the statistical analysis. However, the impact of this practice on type I error (T1Er) rates has not been quantified. Methods We conducted a Monte Carlo simulation in which animals were assigned baseline weights and food intakes, then randomized to non‐pair‐fed or pair‐fed groups. Daily food intake for both groups was initially drawn from the baseline food intake distribution. For pair‐fed animals, food intake was truncated if it exceeded the previous day's intake of the matched non‐pair‐fed animal (individual pair‐feeding) or the group's average (group pair‐feeding). Weight changes were calculated as a function of food intake, and final weight change was analyzed with and without adjusting for mean food intake. Results Both individual and group pair‐feeding inflated T1Er rates ranging from 0.12 to 0.71 in unadjusted models. However, adjustment for food intake reduced error rates to around 0.05. Conclusions Under some circumstances, pair‐feeding designs can inflate T1Er rates. Investigators can mitigate this inflation by adjusting the analyses for food intake. 10.1002/oby.70079 http://creativecommons.org/licenses/by/4.0/ |
| doi_str_mv | 10.1002/oby.70079 |
| format | Artículo Open Access |
| id | wiley_oa_10_1002_oby_70079 |
| institution | Wiley Open Access |
| license_str_mv | http://creativecommons.org/licenses/by/4.0/ |
| publishDate | 2025 |
| publisher | Wiley |
| record_format | wiley_oa |
| spellingShingle | Pair‐Feeding Study Designs Can Create Biases and Inflate Type I Error Rates: A Simulation Study Wasiuddin Najam Daniel E. Kpormegbey Deependra K. Thapa Bret Rust Lilian Golzarri‐Arroyo Lance H. Baumgard Louis Wai‐Tong Fan Joseph G. Ibrahim Edith J. Mayorga David B. Allison Obesity Pair‐Feeding Study Designs Can Create Biases and Inflate Type I Error Rates: A Simulation Study Wasiuddin Najam Daniel E. Kpormegbey Deependra K. Thapa Bret Rust Lilian Golzarri‐Arroyo Lance H. Baumgard Louis Wai‐Tong Fan Joseph G. Ibrahim Edith J. Mayorga David B. Allison Obesity ABSTRACT Objective Pair‐feeding is a study design element where one group's food intake is provided to another group to assess whether a treatment effect is independent of food intake. Investigators often assume equivalent food intake across experimental conditions and exclude it from the statistical analysis. However, the impact of this practice on type I error (T1Er) rates has not been quantified. Methods We conducted a Monte Carlo simulation in which animals were assigned baseline weights and food intakes, then randomized to non‐pair‐fed or pair‐fed groups. Daily food intake for both groups was initially drawn from the baseline food intake distribution. For pair‐fed animals, food intake was truncated if it exceeded the previous day's intake of the matched non‐pair‐fed animal (individual pair‐feeding) or the group's average (group pair‐feeding). Weight changes were calculated as a function of food intake, and final weight change was analyzed with and without adjusting for mean food intake. Results Both individual and group pair‐feeding inflated T1Er rates ranging from 0.12 to 0.71 in unadjusted models. However, adjustment for food intake reduced error rates to around 0.05. Conclusions Under some circumstances, pair‐feeding designs can inflate T1Er rates. Investigators can mitigate this inflation by adjusting the analyses for food intake. 10.1002/oby.70079 http://creativecommons.org/licenses/by/4.0/ |
| title | Pair‐Feeding Study Designs Can Create Biases and Inflate Type I Error Rates: A Simulation Study |
| topic | Obesity |
| url | https://onlinelibrary.wiley.com/doi/10.1002/oby.70079 |