Mapping the distribution of whitebark pine (Pinus albicaulis) in Waterton Lakes National Park using logistic regression and classification tree analysis

2008 ◽  
Vol 34 (4) ◽  
pp. 356-366 ◽  
Author(s):  
G J McDermid ◽  
I U Smith
Keyword(s):  
Logistic Regression ◽  
National Park ◽  
Classification Tree ◽  
Pinus Albicaulis ◽  
Whitebark Pine ◽  
Classification Tree Analysis ◽  
Tree Analysis ◽  
Waterton Lakes National Park

Substance Use Relapse Among Veterans at Termination of Treatment for Substance Use Disorders

2021 ◽  
Author(s):  
Christian A Betancourt ◽  
Panagiota Kitsantas ◽  
Deborah G Goldberg ◽  
Beth A Hawks
Keyword(s):  
Risk Factors ◽  
Substance Use ◽  
Logistic Regression ◽  
Substance Use Disorders ◽  
Classification Tree ◽  
Treatment Completion ◽  
Classification Tree Analysis ◽  
Data Set ◽  
Tree Analysis ◽  
Substance Addiction

ABSTRACT Introduction Military veterans continue to struggle with addiction even after receiving treatment for substance use disorders (SUDs). Identifying factors that may influence SUD relapse upon receiving treatment in veteran populations is crucial for intervention and prevention efforts. The purpose of this study was to examine risk factors that contribute to SUD relapse upon treatment completion in a sample of U.S. veterans using logistic regression and classification tree analysis. Materials and Methods Data from the 2017 Treatment Episode Data Set—Discharge (TEDS-D) included 40,909 veteran episode observations. Descriptive statistics and multivariable logistic regression analysis were conducted to determine factors associated with SUD relapse after treatment discharge. Classification trees were constructed to identify high-risk subgroups for substance use after discharge from treatment for SUDs. Results Approximately 94% of the veterans relapsed upon discharge from outpatient or residential SUD treatment. Veterans aged 18-34 years old were significantly less likely to relapse than the 35-64 age group (odds ratio [OR] 0.73, 95% confidence interval [CI]: 0.66, 0.82), while males were more likely than females to relapse (OR 1.55, 95% CI: 1.34, 1.79). Unemployed veterans (OR 1.92, 95% CI: 1.67, 2.22) or veterans not in the labor force (OR 1.29, 95% CI: 1.13, 1.47) were more likely to relapse than employed veterans. Homeless vs. independently housed veterans had 3.26 (95% CI: 2.55, 4.17) higher odds of relapse after treatment. Veterans with one arrest vs. none were more likely to relapse (OR 1.52, 95% CI: 1.19, 1.95). Treatment completion was critical to maintain sobriety, as every other type of discharge led to more than double the odds of relapse. Veterans who received care at 24-hour detox facilities were 1.49 (95% CI: 1.23, 1.80) times more likely to relapse than those at rehabilitative/residential treatment facilities. Classification tree analysis indicated that homelessness upon discharge was the most important predictor in SUD relapse among veterans. Conclusion Aside from numerous challenges that veterans face after leaving military service, SUD relapse is intensified by risk factors such as homelessness, unemployment, and insufficient SUD treatment. As treatment and preventive care for SUD relapse is an active field of study, further research on SUD relapse among homeless veterans is necessary to better understand the epidemiology of substance addiction among this vulnerable population. The findings of this study can inform healthcare policy and practices targeting veteran-tailored treatment programs to improve SUD treatment completion and lower substance use after treatment.

scholarly journals Diminished ovarian reserve is the major cause of infertility among women undergoing their first assisted reproductive technology treatment: a retrospective observational study

2020 ◽  
Author(s):  
Mengqian Zhang ◽  
Hongxian Zhang ◽  
Rui Yang ◽  
Guoshuang Feng ◽  
Huiyu Xu ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Ovarian Reserve ◽  
Cox Regression ◽  
Classification Tree ◽  
Diminished Ovarian Reserve ◽  
Classification Tree Analysis ◽  
Success Rates ◽  
Tree Analysis ◽  
Cox Regression Analysis

Abstract Background This study aims to investigate the effects of various factors on treatment outcomes in women undergoing in vitro fertilization or intracytoplasmic sperm injection (IVF/ICSI) with embryo transfer (ET). Methods Of the 8993 eligible women who underwent their first IVF/ICSI–ET cycles, and met our inclusion and exclusion criteria, 2742(30.5%) achieved clinical pregnancy while 6251(69.5%) did not. Multivariable Cox regression analysis, multiple logistic regression analysis, and classification tree analysis were used sequentially to screen key predictors among predictors of various infertility causes and ovarian stimulation protocols through the best subset technique. Results Multivariate Cox regression analysis showed that the main factor affecting fertility in first attempts at IVF/ICSI–ET is diminished ovarian reserve (DOR), with a hazard ratio (HR) of 0.406 and 95% confidence interval (CI) of 0.353–0.466. Multiple forward logistic regression with 5-fold cross-validation also found that, with an odds ratio (OR) of 2.522 (95% CI = 2.167–2.937), DOR affects fertility. The classification tree analysis was further used to better visualize the model. Conclusions DOR is the major factor affecting success rates in couples undergoing their first attempt at IVF/ICSI-ET. The selection of the most appropriate pairs for IVF/ICSI treatment can not only increase the success rates but also the cumulative cost-effectiveness.

scholarly journals Designer Niches Promote Seedling Survival in Forest Restoration: A 7-Year Study of Whitebark Pine (Pinus albicaulis) Seedlings in Waterton Lakes National Park

Forests ◽  
2018 ◽  
Vol 9 (8) ◽  
pp. 477 ◽  
Author(s):  
Cathy Cripps ◽  
Genoa Alger ◽  
Robert Sissons
Keyword(s):  
Forest Restoration ◽  
National Park ◽  
Mountain Pine Beetle ◽  
Seedling Survival ◽  
Tree Seedlings ◽  
Pinus Albicaulis ◽  
Whitebark Pine ◽  
Burned Areas ◽  
Blister Rust ◽  
Waterton Lakes National Park

Designer niches in which environmental variables are controlled are useful in forest restoration to enhance survival of planted tree seedlings. Here, we evaluate particular manipulated habitats, on site variables, and pre-seedling conditions hypothesized to improve the survival rate of whitebark pine (Pinus albicaulis) seedlings out-planted in Waterton Lakes National Park. The tree species is in peril due to blister rust and mountain pine beetle infestations in its range; and is a restoration priority in Waterton Lakes because populations in the park are highly infected with blister rust (up to 90%). At Summit Lake, 21 plots were set up and half of each was terra-torched; 1000 seedlings were planted in clusters of three, under four conditions: on burned areas in burned beargrass mats, in burned areas where beargrass mats were not present, in unburned areas where beargrass was present, and in unburned areas without beargrass. This study reports data for the seventh year after planting, and overall, survival was 53% for individual seedlings and at least one seedling survived in 60.8% of clusters. Planting in burned areas increased cluster survival (by 34.3%, p ˂ 0.0001) and planting near microsites increased cluster survival (by 19.3%, p ˂ 0.0001); the type of microsite did not make a difference. Planting in beargrass mats decreased survival, but not significantly (8.9%, p = 0.11) and this was true for burns, not unburned areas. Inoculation with native ectomycorrhizal fungi did not enhance survival most likely because controls on lightly terra-torched and unburned areas had access to local native fungi. This is the first study to report statistics on the planting of seedlings in clusters; the results need to be compared with studies where seedlings are planted individually.

scholarly journals A Comparison of Logistic Regression and Classification Tree Analysis for Behavioural Case Linkage

2012 ◽  
Vol 9 (3) ◽  
pp. 235-258 ◽  
Author(s):  
Matthew Tonkin ◽  
Jessica Woodhams ◽  
Ray Bull ◽  
John W. Bond ◽  
Pekka Santtila
Keyword(s):  
Logistic Regression ◽  
Classification Tree ◽  
Classification Tree Analysis ◽  
Tree Analysis

Classification tree analysis to examine influences on colorectal cancer screening

2015 ◽  
Vol 26 (3) ◽  
pp. 443-454 ◽  
Author(s):  
Gregory M. Dominick ◽  
Mia A. Papas ◽  
Michelle L. Rogers ◽  
William Rakowski
Keyword(s):  
Colorectal Cancer ◽  
Cancer Screening ◽  
Colorectal Cancer Screening ◽  
Classification Tree ◽  
Classification Tree Analysis ◽  
Tree Analysis

scholarly journals A Comparison of Fire Regimes and Stand Dynamics in Whitebark Pine (Pinus albicaulis) Communities in the Greater Yellowstone Ecosystem

2003 ◽  
Vol 27 ◽  
pp. 123-128
Author(s):  
William Romme ◽  
James Walsh
Keyword(s):  
Yellowstone National Park ◽  
National Park ◽  
Fire Regime ◽  
Fire Regimes ◽  
Greater Yellowstone Ecosystem ◽  
Past Century ◽  
Grizzly Bear ◽  
Pinus Albicaulis ◽  
Whitebark Pine ◽  
Greater Yellowstone

Whitebark pine (Pinus albicaulis) is a keystone species of upper subalpine ecosystems (Tomback et al. 2001), and is especially important in the high-elevation ecosystems of the northern Rocky Mountains (Arno and Hoff 1989). Its seeds are an essential food source for the endangered grizzly bear (Ursus arctos horribilis), particularly in the autumn, prior to winter denning (Mattson and Jonkel 1990, Mattson and Reinhart 1990, Mattson et al. 1992). In the Greater Yellowstone Ecosystem (GYE), biologists have concluded that the fate of grizzlies is intrinsically linked to the health of the whitebark pine communities found in and around Yellowstone National Park (YNP) (Mattson and Merrill 2002). Over the past century, however, whitebark pine has severely declined throughout much of its range as a result of an introduced fungus, white pine blister rust (Cronartium ribicola) (Hoff and Hagle 1990, Smith and Hoffman 2000, McDonald and Hoff 2001), native pine beetle (Dendroctonus ponderosae) infestations (Bartos and Gibson 1990, Kendall and Keane 2001), and, perhaps in some locations, successional replacement related to fire exclusion and fire suppression (Amo 2001). The most common historical whitebark pine ftre regimes are "stand-replacement", and "mixed­ severity" regimes (Morgan et al. 1994, Arno 2000, Arno and Allison-Bunnell2002). In the GYE, mixed-severity ftre regimes have been documented in whitebark pine forests in the Shoshone National forest NW of Cody, WY (Morgan and Bunting 1990), and in NE Yellowstone National Park (Barrett 1994). In Western Montana and Idaho, mixed fire regimes have been documented in whitebark pine communities in the Bob Marshall Wilderness (Keane et al. 1994), Selway-Bitterroot Wilderness (Brown et al. 1994), and the West Bighole Range (Murray et al.1998). Mattson and Reinhart (1990) found a stand­replacing fire regime on the Mount Washburn Massif, within Yellowstone National Park.

Sign in / Sign up

Export Citation Format

Share Document