Take a moderndive into introductory linear regression with R

Kim, Albert Y.; Ismay, Chester; Kühn, Max

doi:10.21105/jose.00115

Cited by 5 publications

(4 citation statements)

References 4 publications

(3 reference statements)

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“…The analysis was undertaken in the R Statistical Environment (v4.2.0) 8 using the following packages: broom, 9 dplyr, 10 forecast, 11,12 ggplot2, 13 ggthemes, 14 kableExtra, 15 lspline, 16 moderndive, 17 MuMIn, 18 patchwork, 19 readr, 20 skimr, 21 tseries. 22 Two outcome variables were assessed: (i) the total monthly number of prescription items for each drug, and (ii) the average monthly dispensed dose per prescription item.…”

Section: Discussionmentioning

confidence: 99%

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Rescheduling gabapentinoids had negligible effects on prescribing behaviour by general practitioners in England

Kamerman

2023

Pharmacoepidemiology and Drug

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Purpose To determine whether the rescheduling of gabapentinoids in England as Schedule 3 Controlled Substances in April 2019, changed prescribing behaviour for gabapentinoids by general practitioners. Methods Data on the monthly number of prescription items and the monthly average dose per prescription item were analysed for the period April 2017 to April 2021 under three models: (i) a simple linear regression, (ii) a linear spline with a knot at April 2019, and (iii) a parallel slopes model with time before and after the rescheduling as a covariate. Best fit models were selected based on them having the lowest corrected Akaike's information criterion. Auto‐regressive integrated moving average (ARIMA) models were also generated. Results For gabapentin, the best fit model for the number of prescription items was the simple linear model, and for the dose per prescription item it was the parallel slopes model. For pregabalin, the best fit model was the linear spline for the number of prescription items and the dose per prescription item. For all models, the interval estimates for the slopes were consistent with no change or no meaningful change in prescribing behaviour after April 2019. Forecasts from ARIMA models for gabapentin and pregabalin were consistent with no change in the number of prescription items per month. However, forecasts for the dose per prescription item for gabapentin or pregabalin did not fully capture the post‐April 2019 trajectories. Conclusion The reclassification of gabapentinoids did not materially change the prescribing behaviour of these drugs by general practitioners in England.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Rescheduling gabapentinoids had negligible effects on prescribing behaviour by general practitioners in England

Kamerman

2023

Pharmacoepidemiology and Drug

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“…Several packages of R statistical software (v.4.0.5; R Core Team, 2021 ) were used. Length-weight relationships were analyzed using the ‘moderndive’ R package ( Kim, Ismay & Bray, 2018 ). Von Bertalanffy, Gompertz, and Logistic age-specific growth models were fit to length-at-age data with R packages ‘FSA’ ( Ogle, Wheeler & Dinno, 2021 ), ‘nstools’ ( Baty et al, 2015 ), and ‘fishmethods’ ( Nelson, 2019 ), using initial values from Loro & Zanetti (1996) , to provide a rough fit to the data ( Ogle, 2019 ).…”

Section: Methodsmentioning

confidence: 99%

Size-age population structure of an endangered and anthropogenically introgressed northern Adriatic population of marble trout (Salmo marmoratus Cuv.): insights for its conservation and sustainable exploitation

Polgar

Iaia

Sala

et al. 2023

PeerJ

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Salmonid species are main actors in the Italian socio-ecological landscape of inland fisheries. We present novel data on the size-age structure of one of the remnant Italian populations of the critically endangered marble trout Salmo marmoratus, which co-occurs with other stocked non-native salmonids in a large glacial river of the Lake Maggiore basin (Northern Italy-Southern Switzerland). Like other Italian native trout populations, the Toce River marble trout population is affected by anthropogenic introgression with the non-native brown trout S. trutta. Our sample includes 579 individuals, mainly collected in the Toce River main channel. We estimated the length-weight relationship, described the population size-age structure, estimated the age-specific growth trajectories, and fit an exponential mortality model. A subset of the sample was also used to measure numerical and biomass density. The estimated asymptotic maximum length is ~105 cm total length (TL). Mean length at first maturity is ~55 cm TL, and mean length at maximum yield per recruit is ~68 cm TL. Approximately 45–70% of the population are estimated to die annually, along with a fishing annual mortality of ~37%, with an exploitation ratio of ~0.5. The frequency distribution of length classes in a sample collected by angling shows that ~80% of the individuals that could be retained according to the current recreational fishing regulations likely never reproduced, and large fish disproportionally contributing to recruitment are fished and retained. We identify possible overfishing risks posed by present regulations, and propose updated harvest-slot length limits to mitigate such risks. More detailed and long-term datasets on this system are needed to more specifically inform the fishery management and monitor the effects of any change in the management strategy on the size-age structure of the marble trout population of the Toce River.

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“…PERMANOVA was made in the software PRIMER 7.0.21 with PERMANOVA add‐on (Anderson, Gorley, & Clarke, 2008) using Euclidian Distance as measure of resemblance, 9999 permutations of residuals under a reduced model, and sequential sum of squares (SS I). The rest of calculations and graphs were made in RStudio with packages Tidyverse (Wickham et al, 2019) and Moderndive (Kim, Ismay, & Kuhn, 2021).…”

Section: Methodsmentioning

confidence: 99%

Size spectra, biomass, and trophic groups of free‐living marine nematodes along a water‐depth gradient in the northwestern Gulf of Mexico

et al. 2022

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Free-living Nematoda is one of the most important metazoan groups in the marine realm due to its abundance, diversity, and biomass. Nematodes are broadly distributed from littoral to deep-sea environments (Lambshead, 2004;Ramalho et al., 2014;Sharma, Baguley, Bluhm, & Rowe, 2011) and influence the energy transfer, organic matter remineralization, and bioturbation of the sea bed (Giere, 2009). In marine food webs, nematodes are extremely important because they provide a critical food source for macrofauna and juvenile fishes, thus contributing to the energy flux (Danovaro,

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Take a moderndive into introductory linear regression with R

Cited by 5 publications

References 4 publications

Rescheduling gabapentinoids had negligible effects on prescribing behaviour by general practitioners in England

Rescheduling gabapentinoids had negligible effects on prescribing behaviour by general practitioners in England

Size-age population structure of an endangered and anthropogenically introgressed northern Adriatic population of marble trout (Salmo marmoratus Cuv.): insights for its conservation and sustainable exploitation

Size spectra, biomass, and trophic groups of free‐living marine nematodes along a water‐depth gradient in the northwestern Gulf of Mexico

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