By Professor Shinichi Nakagawa

Preprints

Mizuno A; Lagisz M; Pollo P; Yang Y; Soma M; Nakagawa S, 2024, A systematic review and meta-analysis of anti-predator mechanisms of eyespots: conspicuous pattern vs eye mimicry, http://dx.doi.org/10.7554/elife.96338.2

Macartney E; Burke S; Pottier P; Hamoudi Z; Hart C; Ahmed R; Lin YQ; Neely G; Drobniak S; Nakagawa S, 2024, Sex-specific effects of social environment on behaviour and their correlations in Drosophila melanogaster, http://dx.doi.org/10.22541/au.172514069.94507194/v1

Mizuno A; Lagisz M; Pollo P; Yang Y; Soma M; Nakagawa S, 2024, A systematic review and meta-analysis of anti-predator mechanisms of eyespots: conspicuous pattern vs eye mimicry, http://dx.doi.org/10.7554/elife.96338.1

Yang Y; Williams C; Senior AM; Morrison K; Ricolfi L; Pan J; Lagisz M; Nakagawa S, 2024, Bivariate multilevel meta-analysis of log response ratio and standardized mean difference for robust and reproducible environmental and biological sciences, http://dx.doi.org/10.1101/2024.05.13.594019

Nakagawa S; Lagisz M, 2024, The ABC of academic writing: non-native speakers’ perspective, http://dx.doi.org/10.31219/osf.io/qg45w

Lagisz M; Bairos-Novak K; Martinig A; Bertram M; Mizuno A; Sabet S; Paquet M; Santana M; Thoré E; Trubanová N; Rutkowska J; Orr J; Takola E; Yang Y; Pottier P; Gomes D; Chan Y-C; Onoja Akogwu C; Drobniak S; Nakagawa S, 2024, Priced out of belonging? Insufficient concessions on membership fees across international societies in ecology and evolution, http://dx.doi.org/10.32942/x2z90d

Hang Chan AH; Putra P; Schupp H; Köchling J; Straßheim J; Renner B; Schroeder J; Pearse W; Nakagawa S; Burke T; Griesser M; Meltzer A; Lubrano S; Kano F, 2024, YOLO-Behaviour: A simple, flexible framework to automatically quantify animal behaviours from videos, http://dx.doi.org/10.1101/2024.08.26.609387

Yang Y; Lagisz M; Nakagawa S, 2023, Enriching meta-analyses through scoping review, bibliometrics, and alternative impact metrics: Visualizing study characteristics, hidden risk of bias, societal influence, and research translation, http://arxiv.org/abs/2312.01643v1

Drobniak SM; Lagisz M; Yang Y; Nakagawa S, 2023, Realism and robustness require increased sample size when studying both sexes, http://dx.doi.org/10.31219/osf.io/m7cqz

Sanghvi K; Vega-Trejo R; Nakagawa S; Gascoigne SJL; Johnson S; Salguero-Gómez R; Pizzari T; Sepil I, 2023, No general effects of advancing male age on ejaculates: a meta-analysis across the animal kingdom, http://dx.doi.org/10.1101/2023.04.14.536443

Nakagawa S; Lagisz M; Yang Y; Drobniak SM, 2023, Right Power Balance: Better Study Design but Less Emphasis on Power Would Improve Efficacy and Equity in Science, http://dx.doi.org/10.31219/osf.io/h7ufg

Popovic G; Mason TJ; Marques TA; Potts J; Drobniak SM; Joo R; Altwegg R; Burns CCI; McCarthy MA; Johnston A; Nakagawa S; McMillan L; Devarajan K; Taggart PL; Wunderlich AC; Mair MM; Martínez-Lanfranco JA; Lagisz M; Pottier PP, 2023, Four principles for improved statistical ecology, http://arxiv.org/abs/2302.01528v1

Lagisz M; Rutkowska J; Aich U; Ross R; Santana M; Wang J; Trubanová N; Page M; Pua AAY; Yang Y; Amin B; Martinig AR; Barnett A; Surendran A; Zhang J; Borg D; Elisee J; Wrightson J; Nakagawa S, 2023, Best Paper awards lack transparency, inclusivity, and support for Open Science, http://dx.doi.org/10.1101/2023.12.11.571170

Pottier P; Lagisz M; Burke S; Drobniak S; Downing P; Macartney E; Martinig AR; Mizuno A; Morrison K; Pollo P; Ricolfi L; Tam J; Williams C; Yang Y; Nakagawa S, 2023, Keywords to success: a practical guide to maximise the visibility and impact of academic papers, http://dx.doi.org/10.1101/2023.10.02.559861

Chin J; Growns B; Sebastian J; Page MJ; Nakagawa S, 2022, The transparency and reproducibility of systematic reviews in forensic science, http://dx.doi.org/10.31222/osf.io/rp6y4

Lagisz M; Aich U; Amin B; Rutkowska J; Sánchez-Mercado A; Lara C; Nakagawa S, 2022, Little transparency and equity in scientific awards for early and mid-career researchers in ecology and evolution, http://dx.doi.org/10.32942/osf.io/82wuh

Yang Y; Sánchez-Tójar A; O'Dea R; Noble D; Koricheva J; Jennions M; Parker T; Lagisz M; Nakagawa S, 2022, Publication bias impacts on effect size, statistical power, and magnitude (Type M) and sign (Type S) errors in ecology and evolutionary biology, http://dx.doi.org/10.32942/osf.io/97nv6

Lagisz M; Vasilakopoulou K; Bridge C; Santamouris M; Nakagawa S, 2022, Rapid systematic reviews for synthesizing research on built environment, http://dx.doi.org/10.31222/osf.io/djvsh

Pottier P; Burke S; Drobniak S; Nakagawa S, 2022, Methodological inconsistencies define thermal bottlenecks in fish life cycle: a comment on Dahlke et al. 2020, http://dx.doi.org/10.32942/osf.io/hya68

Spake R; O'Dea RE; Nakagawa S; Doncaster CP; Ryo M; Callaghan CT; Bullock J, 2022, Improving quantitative synthesis to achieve generality in ecology, http://dx.doi.org/10.31219/osf.io/a7vjy

Yang Y; Lagisz M; Nakagawa S, 2022, Decline effects are rare in ecology: Comment, http://dx.doi.org/10.32942/osf.io/qc7bx

Nakagawa S; Noble D; Lagisz M; Spake R; Viechtbauer W; Senior A, 2022, A robust and readily implementable method for the meta-analysis of response ratios with and without missing standard deviations, http://dx.doi.org/10.32942/osf.io/7thx9

Anwer H; Mason D; Zajitschek S; Hesselson D; Noble D; Morris M; Lagisz M; Nakagawa S, 2022, Intergenerational effects of overfeeding on aversive learning in zebrafish (Danio rerio), http://dx.doi.org/10.32942/osf.io/df69c

Anwer H; O'Dea R; Mason D; Zajitschek S; Klinke A; Reid M; Hesselson D; Noble D; Morris M; Lagisz M, 2022, The effects of an obesogenic diet on behaviour and cognition in zebrafish (Danio rerio): traits average, variability, repeatability, and behavioural syndromes, http://dx.doi.org/10.32942/osf.io/ewq64

Nguyen P-Y; Kanukula R; McKenzie J; Alqaidoom Z; Brennan S; Haddaway N; Hamilton D; Karunananthan S; McDonald S; Moher D; Nakagawa S; Nunan D; Tugwell P; Welch V; Page M, 2022, Changing patterns in reporting and sharing of review data in systematic reviews with meta-analysis of the effects of interventions: a meta-research study, http://dx.doi.org/10.1101/2022.04.11.22273688

Pottier P; Burke S; Zhang R; Noble D; Schwanz L; Drobniak S; Nakagawa S, 2022, Developmental plasticity in thermal tolerance is insufficient to compensate for rising temperatures: a meta-analysis, http://dx.doi.org/10.22541/au.164573834.49438532/v1

Wilson L; Zajitschek S; Lagisz M; Mason J; Haselimashhadi H; Nakagawa S, 2022, Sex differences in allometry for mouse phenotypic traits indicate that females are not scaled males, http://dx.doi.org/10.1101/2022.03.29.486193

Davidson A; Barbour G; Nakagawa S; Holcombe A; Fidler F; Glasziou P, 2022, Taxonomy of interventions at academic institutions to improve research quality, http://dx.doi.org/10.1101/2022.12.08.519666

Tam J; Lagisz M; Cornwell W; Nakagawa S, 2021, Quantifying research interests in 7,521 mammalian species with h-index: a case study, http://dx.doi.org/10.32942/osf.io/gd7cv

Pollo P; Nakagawa S; Kasumovic M, 2021, The better, the choosier: a meta-analysis on inter-individual variation of male mate choice, http://dx.doi.org/10.32942/osf.io/3nytg

Vendl C; Pottier P; Taylor M; Braeunig J; Gibson M; Hesselson D; Neely G; Lagisz M; Nakagawa S, 2021, Thermal processing reduces PFAS concentrations in blue food – A systematic review and meta-analysis, http://dx.doi.org/10.32942/osf.io/yqspb

Yang Y; Hillebrand H; Lagisz M; Cleasby I; Nakagawa S, 2021, Low statistical power and overestimated anthropogenic impacts, exacerbated by publication bias, dominate field studies in global change biology, http://dx.doi.org/10.32942/osf.io/kdq45

Chin J; Nakagawa S; Lagisz M, 2021, Where is the evidence in evidence-based law reform?, http://dx.doi.org/10.31222/osf.io/698ze

Anwer H; Morris M; Noble D; Nakagawa S; Lagisz M, 2021, Transgenerational effects of obesogenic diets in rodents: a meta-analysis, http://dx.doi.org/10.32942/osf.io/zwkj2

Kar F; Nakagawa S; Noble D, 2021, Impact of Developmental Temperatures On The Repeatability of Thermal Plasticity in Metabolic Rate, http://dx.doi.org/10.32942/osf.io/kp2gd

Foo Y; O'Dea R; Koricheva J; Nakagawa S; Lagisz M, 2021, A practical guide to question formation, systematic searching and study screening for literature reviews in ecology and evolution, http://dx.doi.org/10.32942/osf.io/6v54p

Nakagawa S; Lagisz M; Jennions M; Koricheva J; Noble D; Parker T; Sánchez-Tójar A; Yang Y; O'Dea R, 2021, Methods for testing publication bias in ecological and evolutionary meta-analyses, http://dx.doi.org/10.32942/osf.io/k7pmz

Nakagawa S; Senior A; Viechtbauer W; Noble D, 2021, An assessment of statistical methods for non-independent data in ecological meta-analyses: Comment, http://dx.doi.org/10.32942/osf.io/w96nv

Haddaway NR; Dunn AG; Nakagawa S, 2021, A protocol for a Delphi-style workshop to design a minimum standard for data reporting in systematic reviews, http://dx.doi.org/10.31219/osf.io/4e9yg

Page MJ; Moher D; Fidler FM; Higgins JPT; Brennan SE; Haddaway NR; Hamilton DG; Kanukula R; Karunananthan S; Maxwell LJ; McDonald S; Nakagawa S; Nunan D; Tugwell P; Welch VA; McKenzie JE, 2021, The REPRISE Project: Protocol for an Evaluation of Reproducibility and Replicability in Syntheses of Evidence, http://dx.doi.org/10.21203/rs.3.rs-150893/v1

Vendl C; Braeunig J; Gibson M; Hesselson D; Neely GG; Lagisz M; Nakagawa S, 2021, Profiling Research on PFAS in Wildlife: Protocol of a Systematic Evidence Map and Bibliometric Analysis, http://dx.doi.org/10.21203/rs.3.rs-144662/v1

Nolazco S; Delhey K; Nakagawa S; Peters A, 2021, Ornaments are equally informative in males and females: a bivariate meta-analysis in birds, http://dx.doi.org/10.21203/rs.3.rs-1141520/v1

Cinar O; Nakagawa S; Viechtbauer W, 2020, Phylogenetic multilevel meta-analysis: A simulation study on the importance of modeling the phylogeny, http://dx.doi.org/10.32942/osf.io/su4zv

Anwer H; Mason D; Zajitschek S; Noble D; Hesselson D; Morris M; Lagisz M; Nakagawa S, 2020, An efficient new assay for measuring zebrafish anxiety: tall tanks that better characterize between-individual differences, http://dx.doi.org/10.32942/osf.io/7bvxy

Mason D; Zajitschek S; Anwer H; O’Dea RE; Hesselson D; Nakagawa S, 2020, Low Repeatability of Aversive Learning in Zebrafish (Danio rerio), http://dx.doi.org/10.1101/2020.11.16.385930

Atsumi K; Lagisz M; Nakagawa S, 2020, Non-additive genetic effects induce novel phenotypic distributions in male mating traits of F1 hybrids, http://dx.doi.org/10.32942/osf.io/kt3ud

Hennessy EA; Acabchuk R; Arnold PA; Dunn AG; Foo YZ; Johnson BT; Geange SR; Haddaway NR; Nakagawa S; Mapanga W; Mengersen K; Page MJ; Sánchez-Tójar A; Welch V; McGuinness LA, 2020, Ensuring Prevention Science Research is Synthesis-Ready for Immediate and Lasting Scientific Impact, http://dx.doi.org/10.31222/osf.io/ptg9j

Haddaway NR; Dunn AG; Nakagawa S, 2020, A protocol for a Delphi-style workshop to design a minimum standard for data reporting in systematic reviews, http://dx.doi.org/10.31219/osf.io/z7hpy

O'Dea R; Noble D; Nakagawa S, 2020, Unifying individual differences in personality, predictability, and plasticity: a practical guide, http://dx.doi.org/10.32942/osf.io/bnugw

Stoffel MA; Nakagawa S; Schielzeth H, 2020, partR2: Partitioning R²in generalized linear mixed models, http://dx.doi.org/10.1101/2020.07.26.221168

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