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Example 1: Corporation “C” registered under the LDA during 2014. Effective upon close of business on December 31, 2014, “C” merged with Corporation “D.” “D,” the surviving corporation, had no lobbyist employees before the merger and is not registered. How and when should this information be reported? Assuming that “D” retains at least one of “C’s” lobbyist employees and will incur lobbying expenses of at least $13,000 during the January–March quarterly period, Corporation “D” is required to register. The 45-day period in which its initial registration must be filed begins to run on December 31, 2014, the date “D” first had lobbyist employees, and the registration is due by February 14, 2015. On the other hand, if “D” will not be lobbying after the merger, it is not required to register. In pre-merger discussions, Corporation “C” might have agreed to terminate its registration and file its final lobbying report before ceasing its corporate existence. If, however, “C” did not do so, Corporation “D” should terminate the registration and file the outstanding lobbying report in “C’s” name. “D” may simply annotate the signature block on the quarterly activity report (LD-2) to indicate that it is filing as successor in interest to “C.”

Example 2: Lobbying Firm “O” is a registrant under the LDA. It merges with Lobbying Firm “P,” which is also a registrant. The new entity will be known as Lobbying Firm “T.” How and when should this information be reported? The answer depends on the particular facts. If Lobbying Firm “T” is a newly created legal entity, it should file a new registration within 45 days. The registrations of both “O” and “P” should be terminated by filing separate termination reports for each remaining registrant/client relationship. But if “T” is simply the new name adopted by “O” following the merger with “P,” with “P” going out of existence, “O” should report its new name and other updated information (such as the names of lobbyist employees of “P” who are retained or hired by “T”) on the quarterly activity report (LD-2). “P’s” registration should be terminated, and P should file termination reports for each remaining registrant/client relationship, but only after P ceases to exist.

Example 3: Corporation “J,” a registrant, acquired Corporation “K,” a non registrant. At the time of the acquisition, “J” changed its name to “J K.” How and when should this information be reported? For LDA purposes, this is simply a change in the name of the registrant. The change should be reported on the next quarterly activity report (LD-2) with the registrant name listed as “J K, formerly reported as J."

The LDA provides that “[i]n the case of a coalition or association that employs or retains other persons to conduct lobbying activities, the client is the coalition or association and not its individual members” ( Roberto Cavalli cropped high waist trousers Genuine Online ktEXukZA
). A bona fide coalition that employs or retains lobbyists on behalf of the coalition may be the client for LDA reporting purposes, even if the coalition is not a legal entity or has no formal name. A registrant lobbying for an unnamed informal coalition needs to adopt some type of identifier for the registration (LD-1), and indicate “(Informal Coalition)” or another applicable description. For all coalitions and associations, formal or informal, the LDA requires further disclosures, e.g., of organizations other than the client that contribute more than $5,000 toward the lobbying activities of the registrant in the quarterly period, and actively participate in the planning, supervision, or control of the lobbying activities ( Discount In China Discount Real Kenzo tassel shoulder bag Sale Visit With Credit Card Clearance 100% Guaranteed UdGFlR
). Such organizations are identified as affiliates on the registration (LD-1).

Table 1. County-level descriptive statistics, 2008–2012.

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Fig 1 illustrates a positive relationship between PCP density and overall melanoma incidence. Adjusted models show that higher PCP density of 1 per 100,000 is associated with higher melanoma diagnosis rate of 0.162 per 100,000 (95% CI 0.106–0.218, p<0.001). For example, this model would predict that an increase of 10% in the PCP supply in Los Angeles County would be associated with 116 additional melanoma diagnoses per year, a 5.5% increase over baseline. Among the covariates, higher per capita income, greater percentage of white non-Hispanic residents, greater percentage of elderly residents, status as an urban county, and higher dermatologist density were independently positively associated with incidence ( Calvin Klein 205W39nyc logo detail turtleneck Big Sale Cheap Online Outlet Low Cost Real Cheap Price MHmUS
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Fig 1. Total incidence and mortality as a function of PCP density.

Melanoma incidence per 100,000 person-years and melanoma-specific mortality per 100,000 person-years as a function of PCPs per 100,000 people across all US counties in SEER from 2008–2012. Points are scaled in size by total county population, and the 95% CI for each line of fit is shown in gray.

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Table 2. Multivariate regressions of incidence and mortality with PCP density and co-variates.

https://doi.org/10.1371/journal.pone.0200097.t002

Higher PCP density was associated with increasing melanoma diagnosis in stages 0, I, and II; diagnosis rates of stages III and IV melanomas were unrelated to PCP density ( Valentino red rockstud fold over leather wallet Original For Sale Jiz6aFWub
and Table 2 ). This analysis illustrates progressively decreasing coefficients for the association of PCP density with incidence as tumor stage increases, from 0.069 additional stage 0 diagnoses to 0.001 fewer stage IV diagnoses for every additional PCP ( Fig 2 ). Only the regressions for stage 0, I, and II diagnoses were statistically significant at the 0.05 level. PCP density was not associated with melanoma mortality (point estimate 0.0005 fewer deaths per 100,000 person-years for every additional PCP/100,000, 95% CI -0.008–0.007, p = 0.91).

Fig 2. Incidence as a function of PCP density, stratified by stage at diagnosis.

Melanoma incidence per 100,000 person-years shown as a function of PCPs per 100,000 people across all US counties in SEER from 2008–2012, split by AJCC stage at diagnosis. Points are scaled in size by total county population, and the 95% CI for each line of fit is shown in gray. Stages 0, I, and II were statistically significant (*), and the last panel compares coefficients for all stages.

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