M. Bergstrand

Statistics and Probability · 2009–2014

A researcher in the Science corpus: 3 papers; trusts 10 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 10 citations into it; #9,130 of 12,932 by trust here, #9,714 by citations
• Pharmacology — 7 citations into it
• Surgery — 6 citations into it

Whom M. Bergstrand trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Lars Lindbom
2. M. O. Karlsson
3. Jae Eun Ahn
4. Pontus Pihlgren
5. Jakob Ribbing
6. R. Savic
7. E. Jonsson
8. N. Jonsson
9. A. Dunne

Who trusts M. Bergstrand overall

1. D. Granato
2. V. Calado
3. B. Jarvis
4. D. Mould

Papers from M. Bergstrand's perspective

Ordered by how strongly the researchers M. Bergstrand trusts endorse each paper. Same corpus, a different order for every researcher.

1. Ways to Fit a PK Model with Some Data Below the Quantification Limit (Journal of Pharmacokinetics and Pharmacodynamics)
2. Diagnosing Model Diagnostics (Clinical pharmacology and therapy)
3. Likelihood based approaches to handling data below the quantification limit using NONMEM VI (Journal of Pharmacokinetics and Pharmacodynamics)
4. PsN-Toolkit - A collection of computer intensive statistical methods for non-linear mixed effect modeling using NONMEM (Comput. Methods Programs Biomed.)
5. Lipids and lipid-based formulations: optimizing the oral delivery of lipophilic drugs (Nature reviews. Drug discovery)
6. Characterization of the Human Upper Gastrointestinal Contents Under Conditions Simulating Bioavailability/Bioequivalence Studies (Pharmaceutical Research)
7. Physiologically based pharmacokinetic modeling 1: predicting the tissue distribution of moderate-to-strong bases. (Journal of Pharmacy and Science)
8. Predicting the impact of physiological and biochemical processes on oral drug bioavailability. (Advanced Drug Delivery Reviews)
9. Physiologically based pharmacokinetic modelling 2: predicting the tissue distribution of acids, very weak bases, neutrals and zwitterions. (Journal of Pharmacy and Science)
10. Rational use of in vitro P-glycoprotein assays in drug discovery. (Journal of Pharmacology and Experimental Therapeutics)

Their papers

• Prediction-Corrected Visual Predictive Checks for Diagnosing Nonlinear Mixed-Effects Models (2011) — 1,335 citations
• Handling Data Below the Limit of Quantification in Mixed Effect Models (2009) — 336 citations
• PBPK models for the prediction of in vivo performance of oral dosage forms. (2014) — 298 citations